WO2015102920A1 - Génération de fréquence audio binaurale en réponse à une fréquence audio multicanal au moyen d'au moins un réseau à retard de rétroaction - Google Patents

Génération de fréquence audio binaurale en réponse à une fréquence audio multicanal au moyen d'au moins un réseau à retard de rétroaction Download PDF

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Publication number
WO2015102920A1
WO2015102920A1 PCT/US2014/071100 US2014071100W WO2015102920A1 WO 2015102920 A1 WO2015102920 A1 WO 2015102920A1 US 2014071100 W US2014071100 W US 2014071100W WO 2015102920 A1 WO2015102920 A1 WO 2015102920A1
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Prior art keywords
channel
downmix
reverb
binaural
channels
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PCT/US2014/071100
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English (en)
Inventor
Kuan-Chieh Yen
Dirk J. Breebaart
Grant A. Davidson
Rhonda Wilson
David M. Cooper
Zhiwei Shuang
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Dolby Laboratories Licensing Corporation
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Priority claimed from CN201410178258.0A external-priority patent/CN104768121A/zh
Priority to EP14824318.1A priority Critical patent/EP3090573B1/fr
Priority to KR1020227035287A priority patent/KR20220141925A/ko
Priority to KR1020167017781A priority patent/KR101870058B1/ko
Priority to EP23195452.0A priority patent/EP4270386A3/fr
Priority to KR1020217009258A priority patent/KR102380092B1/ko
Priority to MX2017014383A priority patent/MX365162B/es
Priority to MX2016008696A priority patent/MX352134B/es
Priority to CN202410510303.1A priority patent/CN118200841A/zh
Priority to AU2014374182A priority patent/AU2014374182B2/en
Priority to EP20205638.8A priority patent/EP3806499B1/fr
Priority to KR1020187016855A priority patent/KR102124939B1/ko
Priority to MX2019006022A priority patent/MX2019006022A/es
Priority to BR122020013603-0A priority patent/BR122020013603B1/pt
Priority to ES14824318T priority patent/ES2709248T3/es
Priority to CA2935339A priority patent/CA2935339C/fr
Priority to RU2016126479A priority patent/RU2637990C1/ru
Priority to KR1020227009882A priority patent/KR102454964B1/ko
Application filed by Dolby Laboratories Licensing Corporation filed Critical Dolby Laboratories Licensing Corporation
Priority to EP18174560.5A priority patent/EP3402222B1/fr
Priority to BR112016014949-1A priority patent/BR112016014949B1/pt
Priority to JP2016543161A priority patent/JP6215478B2/ja
Priority to BR122020013590-5A priority patent/BR122020013590B1/pt
Priority to US15/109,541 priority patent/US10425763B2/en
Priority to CN202410510302.7A priority patent/CN118433628A/zh
Priority to KR1020207017130A priority patent/KR102235413B1/ko
Priority to CN202210057409.1A priority patent/CN114401481B/zh
Priority to CN201480071993.XA priority patent/CN105874820B/zh
Publication of WO2015102920A1 publication Critical patent/WO2015102920A1/fr
Priority to AU2018203746A priority patent/AU2018203746B2/en
Priority to US16/541,079 priority patent/US10555109B2/en
Priority to US16/777,599 priority patent/US10771914B2/en
Priority to AU2020203222A priority patent/AU2020203222B2/en
Priority to US17/012,076 priority patent/US11212638B2/en
Priority to US17/560,301 priority patent/US11582574B2/en
Priority to AU2022202513A priority patent/AU2022202513B2/en
Priority to US18/108,663 priority patent/US12089033B2/en
Priority to AU2023203442A priority patent/AU2023203442B2/en
Priority to AU2024219367A priority patent/AU2024219367A1/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
    • H04S7/30—Control circuits for electronic adaptation of the sound field
    • H04S7/305—Electronic adaptation of stereophonic audio signals to reverberation of the listening space
    • H04S7/306—For headphones
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S3/00—Systems employing more than two channels, e.g. quadraphonic
    • H04S3/002—Non-adaptive circuits, e.g. manually adjustable or static, for enhancing the sound image or the spatial distribution
    • H04S3/004—For headphones
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/008—Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S2400/00—Details of stereophonic systems covered by H04S but not provided for in its groups
    • H04S2400/03—Aspects of down-mixing multi-channel audio to configurations with lower numbers of playback channels, e.g. 7.1 -> 5.1
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S2400/00—Details of stereophonic systems covered by H04S but not provided for in its groups
    • H04S2400/13—Aspects of volume control, not necessarily automatic, in stereophonic sound systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S2420/00—Techniques used stereophonic systems covered by H04S but not provided for in its groups
    • H04S2420/01—Enhancing the perception of the sound image or of the spatial distribution using head related transfer functions [HRTF's] or equivalents thereof, e.g. interaural time difference [ITD] or interaural level difference [ILD]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
    • H04S7/30—Control circuits for electronic adaptation of the sound field
    • H04S7/307—Frequency adjustment, e.g. tone control

Definitions

  • the invention relates to methods (sometimes referred to as headphone virtualization methods) and systems for generating a binaural signal in response to a multi-channel audio input signal, by applying a binaural room impulse response (BRIR) to each channel of a set of channels (e.g., to all channels) of the input signal.
  • BRIR binaural room impulse response
  • FDN feedback delay network
  • Headphone virtualization (or binaural rendering) is a technology that aims to deliver a surround sound experience or immersive sound field using standard stereo headphones.
  • HRTF head-related transfer function
  • a HRTF is a set of direction- and distance-dependent filter pairs that characterize how sound transmits from a specific point in space (sound source location) to both ears of a listener in an anechoic environment.
  • Essential spatial cues such as the interaural time difference (ITD), interaural level difference (ILD), head shadowing effect, spectral peaks and notches due to shoulder and pinna reflections, can be perceived in the rendered HRTF-filtered binaural content. Due to the constraint of human head size, the HRTFs do not provide sufficient or robust cues regarding source distance beyond roughly one meter. As a result, virtualizers based solely on a HRTF usually do not achieve good externalization or perceived distance.
  • BRIR binaural room impulse response
  • Fig. 1 is a block diagram of one type of conventional headphone virtualizer which is configured to apply a binaural room impulse response (BRIR) to each full frequency range channel (X 1 ; . . . , X ) of a multi-channel audio input signal.
  • BRIR binaural room impulse response
  • Each of channels X 1 ; . . . , X is a speaker channel corresponding to a different source direction relative to an assumed listener (i.e., the direction of a direct path from an assumed position of a corresponding speaker to the assumed listener position), and each such channel is convolved by the BRIR for the corresponding source direction.
  • the acoustical pathway from each channel needs to be simulated for each ear.
  • each BRIR subsystem is configured to convolve channel i with BRIRi (the BRIR for the corresponding source direction)
  • subsystem 4 is configured to convolve channel XN with BRIRN (the BRIR for the corresponding source direction)
  • the output of each BRIR subsystem is a time-domain signal including a left channel and a right channel.
  • the left channel outputs of the BRIR subsystems are mixed in addition element 6, and the right channel outputs of the BRIR subsystems are mixed in addition element 8.
  • the output of element 6 is the left channel, L, of the binaural audio signal output from the virtualizer
  • the output of element 8 is the right channel, R, of the binaural audio signal output from the virtualizer.
  • the multi-channel audio input signal may also include a low frequency effects (LFE) or subwoofer channel, identified in Fig. 1 as the "LFE" channel.
  • LFE low frequency effects
  • the LFE channel is not convolved with a BRIR, but is instead attenuated in gain stage 5 of Fig. 1 (e.g., by -3dB or more) and the output of gain stage 5 is mixed equally (by elements 6 and 8) into each of channel of the virtualizer' s binaural output signal.
  • An additional delay stage may be needed in the LFE path in order to time-align the output of stage 5 with the outputs of the BRIR subsystems (2, ..., 4).
  • the LFE channel may simply be ignored (i.e., not asserted to or processed by the virtualizer).
  • the Fig. 2 embodiment of the invention simply ignores any LFE channel of the multi-channel audio input signal processed thereby.
  • Many consumer headphones are not capable of accurately reproducing an LFE channel.
  • the input signal undergoes time domain-to- frequency domain transformation into the QMF (quadrature mirror filter) domain, to generate channels of QMF domain frequency components. These frequency components undergo filtering (e.g., in QMF-domain implementations of subsystems 2, 4 of Fig.
  • each full frequency range channel of a multi-channel audio signal input to a headphone virtualizer is assumed to be indicative of audio content emitted from a sound source at a known location relative to the listener's ears.
  • the headphone virtualizer is configured to apply a binaural room impulse response (BRIR) to each such channel of the input signal.
  • BRIR binaural room impulse response
  • Each BRIR can be decomposed into two portions: direct response and reflections.
  • the direct response is the HRTF which corresponds to direction of arrival (DOA) of the sound source, adjusted with proper gain and delay due to distance (between sound source and listener), and optionally augmented with parallax effects for small distances.
  • DOA direction of arrival
  • the remaining portion of the BRIR models the reflections.
  • Early reflections are usually primary or secondary reflections and have relatively sparse temporal distribution.
  • the micro structure e.g., ⁇ and ILD
  • the echo density increases with increasing number of reflections, and the micro attributes of individual reflections become hard to observe.
  • the macro structure e.g., the reverberation decay rate, interaural coherence, and spectral distribution of the overall reverberation
  • the reflections can be further segmented into two parts: early reflections and late reverberations.
  • the delay of the direct response is the source distance from the listener divided by the speed of sound, and its level is (in absence of walls or large surfaces close to the source location) inversely proportional to the source distance.
  • the delay and level of the late reverberations is generally insensitive to the source location. Due to practical considerations, virtualizers may choose to time-align the direct responses from sources with different distances, and/or compress their dynamic range. However, the temporal and level relationship among the direct response, early reflections, and late reverberation within a BRIR should be maintained. The effective length of a typical BRIR extends to hundreds of milliseconds or longer in most acoustic environments. Direct application of BRIRs requires convolution with a filter of thousands of taps, which is computationally expensive. In addition, without
  • FDN can be used to implement a spatial reverberator which is configured to apply simulated reverberation to one or more channels of a multi-channel audio input signal.
  • the structure of an FDN is simple. It comprises several reverb tanks (e.g., the reverb tank comprising gain element gi and delay line z 'nl , in the FDN of Fig. 4), each reverb tank having a delay and gain.
  • the outputs from all the reverb tanks are mixed by a unitary feedback matrix and the outputs of the matrix are fed back to and summed with the inputs to the reverb tanks.
  • Gain adjustments may be made to the reverb tank outputs, and the reverb tank outputs (or gain adjusted versions of them) can be suitably remixed for multi-channel or binaural playback. Natural sounding reverberation can be generated and applied by an FDN with compact computational and memory footprints. FDNs have therefore been used in virtualizers to supplement the direct response produced by the HRTF.
  • the commercially available Dolby Mobile headphone virtualizer includes a reverberator having FDN-based structure which is operable to apply reverb to each channel of a five-channel audio signal (having left- front, right- front, center, left- surround, and right- surround channels) and to filter each reverbed channel using a different filter pair of a set of five head related transfer function ("HRTF") filter pairs.
  • the Dolby Mobile headphone virtualizer is also operable in response to a two-channel audio input signal, to generate a two-channel "reverbed" binaural audio output (a two-channel virtual surround sound output to which reverb has been applied).
  • the reverbed binaural output When the reverbed binaural output is rendered and reproduced by a pair of headphones, it is perceived at the listener's eardrums as HRTF-filtered, reverbed sound from five loudspeakers at left front, right front, center, left rear (surround), and right rear (surround) positions.
  • the virtualizer upmixes a downmixed two-channel audio input (without using any spatial cue parameter received with the audio input) to generate five upmixed audio channels, applies reverb to the upmixed channels, and downmixes the five reverbed channel signals to generate the two-channel reverbed output of the virtualizer.
  • the reverb for each upmixed channel is filtered in a different pair of HRTF filters.
  • an FDN can be configured to achieve certain reverberation decay time and echo density.
  • the FDN lacks the flexibility to simulate the micro structure of the early reflections.
  • the tuning and configuration of FDNs has mostly been heuristic.
  • virtualizers which employ FDNs that try to simulate all reflection paths (early and late) usually have no more than limited success in simulating both early reflections and late reverberation and applying both to an audio signal.
  • the invention is a method for generating a binaural signal in response to a set of channels (e.g., each of the channels, or each of the full frequency range channels) of a multi-channel audio input signal, including steps of: (a) applying a binaural room impulse response (BRIR) to each channel of the set (e.g., by convolving each channel of the set with a BRIR corresponding to said channel), thereby generating filtered signals, including by using at least one feedback delay network (FDN) to apply a common late reverberation to a downmix (e.g., a monophonic downmix) of the channels of the set; and (b) combining the filtered signals to generate the binaural signal.
  • BRIR binaural room impulse response
  • FDN feedback delay network
  • step (a) includes a step of applying to each channel of the set a "direct response and early reflection" portion of a single-channel BRIR for the channel, and the common late reverberation has been generated to emulate collective macro attributes of late reverberation portions of at least some (e.g., all) of the single-channel BRIRs.
  • a method for generating a binaural signal in response to a multi-channel audio input signal (or in response to a set of channels of such a signal) is sometimes referred to herein as a “headphone virtualization” method, and a system configured to perform such a method is sometimes referred to herein as a “headphone virtualizer” (or “headphone virtualization system” or “binaural virtualizer”).
  • each of the FDNs is implemented in a filterbank domain (e.g., the hybrid complex quadrature mirror filter (HCQMF) domain or the quadrature mirror filter (QMF) domain, or another transform or subband domain which may include decimation), and in some such embodiments, frequency-dependent spatial acoustic attributes of the binaural signal are controlled by controlling the configuration of each FDN employed to apply late reverberation.
  • HCQMF hybrid complex quadrature mirror filter
  • QMF quadrature mirror filter
  • another transform or subband domain which may include decimation frequency-dependent spatial acoustic attributes of the binaural signal are controlled by controlling the configuration of each FDN employed to apply late reverberation.
  • a monophonic downmix of the channels is used as the input to the FDNs for efficient binaural rendering of audio content of the multichannel signal.
  • Typical embodiments in the first class include a step of adjusting FDN coefficients corresponding to frequency-dependent attributes (e.g., reverb decay time, interaural coherence, modal density, and direct-to-late ratio), for example, by asserting control values to the feedback delay network to set at least one of input gain, reverb tank gains, reverb tank delays, or output matrix parameters for each FDN.
  • frequency-dependent attributes e.g., reverb decay time, interaural coherence, modal density, and direct-to-late ratio
  • the invention is a method for generating a binaural signal in response to a multi-channel audio input signal having channels, by applying a binaural room impulse response (BRIR) to each channel of a set of the channels of the input signal (e.g., each of the input signal's channels or each full frequency range channel of the input signal), including by: processing each channel of the set in a first processing path configured to model, and apply to said each channel, a direct response and early reflection portion of a single-channel BRIR for the channel; and processing a downmix (e.g., a monophonic (mono) downmix) of the channels of the set in a second processing path (in parallel with the first processing path) configured to model, and apply a common late reverberation to the downmix.
  • BRIR binaural room impulse response
  • the common late reverberation has been generated to emulate collective macro attributes of late reverberation portions of at least some (e.g., all) of the single-channel BRIRs.
  • the second processing path includes at least one FDN (e.g., one FDN for each of multiple frequency bands).
  • a mono downmix is used as the input to all reverb tanks of each FDN implemented by the second processing path.
  • each FDN is typically implemented in the hybrid complex quadrature mirror filter (HCQMF) domain, the frequency domain, domain, or another filterbank domain, and a different or independent FDN is used for each frequency band.
  • HCQMF hybrid complex quadrature mirror filter
  • a primary benefit of implementing the FDNs in a filterbank domain is to allow application of reverb with frequency-dependent reverberation properties.
  • the FDNs are implemented in any of a wide variety of filterbank domains, using any of a variety of filterbanks, including, but not limited to real or complex- valued quadrature mirror filters (QMF), finite-impulse response filters (FIR filters), infinite- impulse response filters (IIR filters), discrete Fourier transforms (DFTs), (modified) cosine or sine transforms, Wavelet transforms, or cross-over filters.
  • the employed filterbank or transform includes decimation (e.g., a decrease of the sampling rate of the frequency-domain signal representation) to reduce the computational complexity of the FDN process.
  • Some embodiments in the first class (and the second class) implement one or more of the following features:
  • a filterbank domain e.g., hybrid complex quadrature mirror filter-domain
  • hybrid filterbank domain FDN implementation and time domain late reverberation filter implementation typically allows independent adjustment of parameters and/or settings of the FDN for each frequency band (which enables simple and flexible control of frequency-dependent acoustic attributes), for example, by providing the ability to vary reverb tank delays in different bands so as to change the modal density as a function of frequency;
  • the specific downmixing process, employed to generate (from the multi-channel input audio signal) the downmixed (e.g., monophonic downmixed) signal processed in the second processing path, depends on the source distance of each channel and the handling of direct response in order to maintain proper level and timing relationship between the direct and late responses;
  • An all-pass filter is applied in the second processing path (e.g., at the input or output of a bank of FDNs) to introduce phase diversity and increased echo density without changing the spectrum and/or timbre of the resulting reverberation;
  • Fractional delays are implemented in the feedback path of each FDN in a complex - valued, multi-rate structure to overcome issues related to delays quantized to the
  • the reverb tank outputs are linearly mixed directly into the binaural channels, using output mixing coefficients which are set based on the desired interaural coherence in each frequency band.
  • the mapping of reverb tanks to the binaural output channels is alternating across frequency bands to achieve balanced delay between the binaural channels.
  • normalizing factors are applied to the reverb tank outputs to equalize their levels while conserving fractional delay and overall power;
  • Frequency-dependent reverb decay time and/or modal density is controlled by setting proper combinations of reverb tank delays and gains in each frequency band to simulate real rooms;
  • one scaling factor is applied per frequency band (e.g., at either the input or output of the relevant processing path), to:
  • DLR frequency-dependent direct-to-late ratio
  • Simple parametric models are implemented for controlling essential frequency- dependent attributes of the late reverberation, such as reverb decay time, interaural coherence, and/or direct- to-late ratio.
  • aspects of the invention include methods and systems which perform (or are configured to perform, or support the performance of) binaural virtualization of audio signals (e.g., audio signals whose audio content consists of speaker channels, and/or object-based audio signals).
  • audio signals e.g., audio signals whose audio content consists of speaker channels, and/or object-based audio signals.
  • the invention is a method and system for generating a binaural signal in response to a set of channels of a multi-channel audio input signal, including by applying a binaural room impulse response (BRIR) to each channel of the set, thereby generating filtered signals, including by using a single feedback delay network
  • BRIR binaural room impulse response
  • the time-domain FDN includes:
  • an input filter having an input coupled to receive the downmix, wherein the input filter is configured to generate a first filtered downmix in response to the downmix;
  • an all-pass filter coupled and configured to a second filtered downmix in response to the first filtered downmix
  • a reverb application subsystem having a first output and a second output
  • the reverb application subsystem comprises a set of reverb tanks, each of the reverb tanks having a different delay
  • the reverb application subsystem is coupled and configured to generate a first unmixed binaural channel and a second unmixed binaural channel in response to the second filtered downmix, to assert the first unmixed binaural channel at the first output, and to assert the second unmixed binaural channel at the second output;
  • IACC interaural cross-correlation coefficient
  • the input filter may be implemented to generate (preferably as a cascade of two filters configured to generate) the first filtered downmix such that each BRIR has a direct-to- late ratio (DLR) which matches, at least substantially, a target DLR.
  • DLR direct-to- late ratio
  • Each reverb tank may be configured to generate a delayed signal, and may include a reverb filter (e.g., implemented as a shelf filter or a cascade of shelf filters) coupled and configured to apply a gain to a signal propagating in said each of the reverb tanks, to cause the delayed signal to have a gain which matches, at least substantially, a target decayed gain for said delayed signal, in an effort to achieve a target reverb decay time characteristic (e.g., a T 6 o characteristic) of each BRIR.
  • a reverb filter e.g., implemented as a shelf filter or a cascade of shelf filters
  • the first unmixed binaural channel leads the second unmixed binaural channel
  • the reverb tanks include a first reverb tank configured to generate a first delayed signal having a shortest delay and a second reverb tank configured to generate a second delayed signal having a second-shortest delay, wherein the first reverb tank is configured to apply a first gain to the first delayed signal, the second reverb tank is configured to apply a second gain to the second delayed signal, the second gain is different than the first gain, the second gain is different than the first gain, and application of the first gain and the second gain results in attenuation of the first unmixed binaural channel relative to the second unmixed binaural channel.
  • the first mixed binaural channel and the second mixed binaural channel are indicative of a re-centered stereo image.
  • the IACC filtering and mixing stage is configured to generate the first mixed binaural channel and the second mixed binaural channel such that said first mixed binaural channel and said second mixed binaural channel have an IACC characteristic which at least substantially matches a target IACC characteristic.
  • Typical embodiments of the invention provide a simple and unified framework for supporting both input audio consisting of speaker channels, and object-based input audio.
  • BRIRs are applied to input signal channels which are object channels
  • the "direct response and early reflection" processing performed on each object channel assumes a source direction indicated by metadata provided with the audio content of the object channel.
  • the "direct response and early reflection” processing performed on each speaker channel assumes a source direction which corresponds to the speaker channel (i.e., the direction of a direct path from an assumed position of a corresponding speaker to the assumed listener position).
  • the "late reverberation" processing is performed on a downmix (e.g., a monophonic downmix) of the input channels and does not assume any specific source direction for the audio content of the downmix.
  • a downmix e.g., a monophonic downmix
  • headphone virtualizer configured (e.g., programmed) to perform any embodiment of the inventive method
  • a system e.g., a stereo, multi-channel, or other decoder
  • a computer readable medium e.g., a disc
  • FIG. 1 is a block diagram of a conventional headphone virtualization system.
  • FIG. 2 is a block diagram of a system including an embodiment of the inventive headphone virtualization system.
  • FIG. 3 is a block diagram of another embodiment of the inventive headphone virtualization system.
  • FIG. 4 is a block diagram of an FDN of a type included in a typical implementation of the Fig. 3 system.
  • DLR 1K 18 dB
  • DLR s i ope 6 dB/ ⁇ frequency
  • DLR min 18 dB
  • HPF s io pe 6 dB/ ⁇ frequency
  • f T 200 Hz.
  • FIG. 8 is a block diagram of another embodiment of a late reverberation processing subsystem of the inventive headphone virtualization system.
  • FIG. 9 is a block diagram of a time-domain implementation of an FDN, of a type included in some embodiments of the inventive system.
  • FIG. 9A is a block diagram of an example of an implementation of filter 400 of FIG.
  • FIG. 9B is a block diagram of an example of an implementation of filter 406 of FIG. 9.
  • FIG. 10 is a block diagram of an embodiment of the inventive headphone
  • FIG. 11 is a block diagram of an embodiment of elements 422, 423, and 424 of the FDN of FIG. 9.
  • FIG. 11A is a graph of the frequency response (Rl) of a typical implementation of filter 500 of Fig. 11, the frequency response (R2) of a typical implementation of filter 501 of Fig. 11, and the response of filters 500 and 501 connected in parallel.
  • FIG. 12 is a graph of an example of an IACC characteristic (curve “I”) which may be achieved by an implementation of the FDN of Fig. 9, and a target IACC characteristic (curve "IT").
  • FIG. 13 is a graph of a T60 characteristic which may be achieved by an
  • FIG. 14 is a graph of a T60 characteristic which may be achieved by an
  • performing an operation "on" a signal or data e.g., filtering, scaling, transforming, or applying gain to, the signal or data
  • a signal or data e.g., filtering, scaling, transforming, or applying gain to, the signal or data
  • performing the operation directly on the signal or data or on a processed version of the signal or data (e.g., on a version of the signal that has undergone preliminary filtering or pre-processing prior to performance of the operation thereon).
  • system is used in a broad sense to denote a device, system, or subsystem.
  • a subsystem that implements a virtualizer may be referred to as a virtualizer system, and a system including such a subsystem (e.g., a system that generates X output signals in response to multiple inputs, in which the subsystem generates M of the inputs and the other X - M inputs are received from an external source) may also be referred to as a virtualizer system (or virtualizer).
  • processor is used in a broad sense to denote a system or device programmable or otherwise configurable (e.g., with software or firmware) to perform operations on data (e.g., audio, or video or other image data).
  • data e.g., audio, or video or other image data.
  • processors include a field-programmable gate array (or other configurable integrated circuit or chip set), a digital signal processor programmed and/or otherwise configured to perform pipelined processing on audio or other sound data, a programmable general purpose processor or computer, and a programmable microprocessor chip or chip set.
  • analysis filterbank is used in a broad sense to denote a system (e.g., a subsystem) configured to apply a transform (e.g., a time domain-to-frequency domain transform) on a time-domain signal to generate values (e.g., frequency components) indicative of content of the time-domain signal, in each of a set of frequency bands.
  • transform e.g., a time domain-to-frequency domain transform
  • filterbank domain is used in a broad sense to denote the domain of the frequency components generated by a transform or an analysis filterbank (e.g., the domain in which such frequency components are processed).
  • Examples of filterbank domains include (but are not limited to) the frequency domain, the quadrature mirror filter (QMF) domain, and the hybrid complex quadrature mirror filter (HCQMF) domain.
  • Examples of the transform which may be applied by an analysis filterbank include (but are not limited to) a discrete- cosine transform (DCT), modified discrete cosine transform (MDCT), discrete Fourier transform (DFT), and a wavelet transform.
  • Examples of analysis filterbanks include (but are not limited to) quadrature mirror filters (QMF), finite-impulse response filters (FIR filters), infinite-impulse response filters (IIR filters), cross-over filters, and filters having other suitable multi-rate structures.
  • Metadata refers to separate and different data from corresponding audio data (audio content of a bitstream which also includes metadata). Metadata is associated with audio data, and indicates at least one feature or characteristic of the audio data (e.g., what type(s) of processing have already been performed, or should be performed, on the audio data, or the trajectory of an object indicated by the audio data). The association of the metadata with the audio data is time-synchronous. Thus, present (most recently received or updated) metadata may indicate that the
  • corresponding audio data contemporaneously has an indicated feature and/or comprises the results of an indicated type of audio data processing.
  • Coupled is used to mean either a direct or indirect connection.
  • that connection may be through a direct connection, or through an indirect connection via other devices and connections.
  • speaker and loudspeaker are used synonymously to denote any sound-emitting transducer.
  • This definition includes loudspeakers implemented as multiple transducers (e.g., woofer and tweeter);
  • speaker feed an audio signal to be applied directly to a loudspeaker, or an audio signal that is to be applied to an amplifier and loudspeaker in series;
  • audio channel a monophonic audio signal.
  • a signal can typically be rendered in such a way as to be equivalent to application of the signal directly to a loudspeaker at a desired or nominal position.
  • the desired position can be static, as is typically the case with physical loudspeakers, or dynamic;
  • audio program a set of one or more audio channels (at least one speaker channel and/or at least one object channel) and optionally also associated metadata (e.g., metadata that describes a desired spatial audio presentation);
  • speaker channel an audio channel that is associated with a named loudspeaker (at a desired or nominal position), or with a named speaker zone within a defined speaker configuration.
  • a speaker channel is rendered in such a way as to be equivalent to application of the audio signal directly to the named loudspeaker (at the desired or nominal position) or to a speaker in the named speaker zone;
  • an object channel an audio channel indicative of sound emitted by an audio source (sometimes referred to as an audio "object").
  • an object channel determines a parametric audio source description (e.g., metadata indicative of the parametric audio source description is included in or provided with the object channel).
  • the source description may determine sound emitted by the source (as a function of time), the apparent position (e.g., 3D spatial coordinates) of the source as a function of time, and optionally at least one additional parameter (e.g., apparent source size or width) characterizing the source;
  • object based audio program an audio program comprising a set of one or more object channels (and optionally also comprising at least one speaker channel) and optionally also associated metadata (e.g., metadata indicative of a trajectory of an audio object which emits sound indicated by an object channel, or metadata otherwise indicative of a desired spatial audio presentation of sound indicated by an object channel, or metadata indicative of an identification of at least one audio object which is a source of sound indicated by an object channel); and
  • metadata e.g., metadata indicative of a trajectory of an audio object which emits sound indicated by an object channel, or metadata otherwise indicative of a desired spatial audio presentation of sound indicated by an object channel, or metadata indicative of an identification of at least one audio object which is a source of sound indicated by an object channel
  • An audio channel can be trivially rendered ("at" a desired position) by applying the signal directly to a physical loudspeaker at the desired position, or one or more audio channels can be rendered using one of a variety of virtualization techniques designed to be substantially equivalent (for the listener) to such trivial rendering.
  • each audio channel may be converted to one or more speaker feeds to be applied to loudspeaker(s) in known locations, which are in general different from the desired position, such that sound emitted by the loudspeaker(s) in response to the feed(s) will be perceived as emitting from the desired position.
  • virtualization techniques include binaural rendering via headphones (e.g., using Dolby Headphone processing which simulates up to 7.1 channels of surround sound for the headphone wearer) and wave field synthesis.
  • a multi-channel audio signal is an "x_y” or “x.y.z” channel signal herein denotes that the signal has "JC" full frequency speaker channels (corresponding to speakers nominally positioned in the horizontal plane of the assumed listener's ears),”/' LFE (or subwoofer) channels, and optionally also “z” full frequency overhead speaker channels (corresponding to speakers positioned above the assumed listener's head, e.g., at or near a room's ceiling).
  • IACC interaural cross-correlation coefficient in its usual sense, which is a measure of the difference between audio signal arrival times at a listener's ears, typically indicated by a number in a range from a first value indicating that the arriving signals are equal in magnitude and exactly out of phase, to an intermediate value indicating that the arriving signals have no similarity, to a maximum value indicating identical arriving signals having the same amplitude and phase.
  • FIG. 2 is a block diagram of a system (20) including an embodiment of the inventive headphone virtualization system.
  • the headphone virtualization system (sometimes referred to as a virtualizer) is configured to apply a binaural room impulse response (BRIR) to N full frequency range channels (X 1 ; . . . , X ) of a multi-channel audio input signal.
  • BRIR binaural room impulse response
  • Each of channels X 1 ; . . . , X (which may be speaker channels or object channels) corresponds to a specific source direction and distance relative to an assumed listener, and the Fig. 2 system is configured to convolve each such channel by a BRIR for the corresponding source direction and distance.
  • System 20 may be a decoder which is coupled to receive an encoded audio program, and which includes a subsystem (not shown in Fig. 2) coupled and configured to decode the program including by recovering the N full frequency range channels (X 1 ; . . . , X N ) therefrom and to provide them to elements 12, ..., 14, and 15 of the virtualization system (which comprises elements, 12,..., 14, 15, 16, and 18, coupled as shown).
  • the decoder may include additional subsystems, some of which perform functions not related to the virtualization function performed by the virtualization system, and some of which may perform functions related to the virtualization function. For example, the latter functions may include extraction of metadata from the encoded program, and provision of the metadata to a virtualization control subsystem which employs the metadata to control elements of the virtualizer system.
  • Subsystem 12 (with subsystem 15) is configured to convolve channel i with BRIRi (the BRIR for the corresponding source direction and distance)
  • subsystem 14 (with subsystem 15) is configured to convolve channel X with BRIR N (the BRIR for the corresponding source direction), and so on for each of the N-2 other BRIR subsystems.
  • the output of each of subsystems 12, ..., 14, and 15 is a time-domain signal including a left channel and a right channel.
  • Addition elements 16 and 18 are coupled to the outputs of elements 12, 14, and 15.
  • Addition element 16 is configured to combine (mix) the left channel outputs of the BRIR subsystems
  • addition element 18 is configured to combine (mix) the right channel outputs of the BRIR subsystems.
  • the output of element 16 is the left channel, L, of the binaural audio signal output from the virtualizer of Fig. 2
  • the output of element 18 is the right channel, R, of the binaural audio signal output from the virtual
  • Fig. 1 and Fig. 2 systems are configured so that, when the same multi-channel audio input signal is asserted to each of them, the systems apply a BRIR, having the same direct response and early reflection portion (i.e., the relevant EBRIR, of Fig. 2) to each full frequency range channel, X ; , of the input signal (although not necessarily with the same degree of success).
  • a BRIR having the same direct response and early reflection portion (i.e., the relevant EBRIR, of Fig. 2) to each full frequency range channel, X ; , of the input signal (although not necessarily with the same degree of success).
  • a direct response and early reflection portion e.g., one of the EBIRi,..., EBRIR N portions applied by subsystems 12- 14 of Fig. 2
  • a late reverberation portion e.g., one of the EBIRi,..., EBRIR N portions applied by subsystems 12- 14 of Fig. 2
  • the Fig. 2 embodiment (and other typical embodiments of the invention assume that late reverberation portions of the single-channel BRIRs, BRIR, can be shared across source directions and thus all channels, and thus apply the same late reverberation (i.e., a common late reverberation) to a downmix of all the full frequency range channels of the input signal.
  • This downmix can be a monophonic (mono) downmix of all input channels, but may alternatively be a stereo or multi-channel downmix obtained from the input channels (e.g., from a subset of the input channels).
  • subsystem 12 of Fig. 2 is configured to convolve input signal channel X 1 with EBRIRi (the direct response and early reflection BRIR portion for the corresponding source direction), subsystem 14 is configured to convolve channel X with EBRIR N (the direct response and early reflection BRIR portion for the corresponding source direction), and so on.
  • Late reverberation subsystem 15 of Fig. 2 is configured to generate a mono downmix of all the full frequency range channels of the input signal, and to convolve the downmix with LBRIR (a common late reverberation for all of the channels which are downmixed).
  • the output of each BRIR subsystem of the Fig. 2 virtualizer (each of subsystems 12, . . .
  • the left channel outputs of the BRIR subsystems are combined (mixed) in addition element 16, and the right channel outputs of the BRIR subsystems are combined (mixed) in addition element 18.
  • Addition element 16 can be implemented to simply sum corresponding Left binaural channel samples (the Left channel outputs of subsystems 12,. . . , 14, and 15) to generate the Left channel of the binaural output signal, assuming that appropriate level adjustments and time alignments are implemented in the subsystems 12,..., 14, and 15.
  • addition element 18 can also be implemented to simply sum corresponding Right binaural channel samples (e.g., the Right channel outputs of subsystems 12,..., 14, and 15) to generate the Right channel of the binaural output signal, again assuming that appropriate level adjustments and time alignments are implemented in the subsystems 12,..., 14, and 15.
  • Subsystem 15 of Fig. 2 can be implemented in any of a variety of ways, but typically includes at least one feedback delay network configured to apply the common late reverberation to a monophonic downmix of the input signal channels asserted thereto.
  • each of subsystems 12,..., 14 applies a direct response and early reflection portion (EBRIRi) of a single-channel BRIR for the channel (X it processes)
  • EBRIRi direct response and early reflection portion
  • the common late reverberation has been generated to emulate collective macro attributes of late reverberation portions of at least some (e.g., all) of the single-channel BRIRs (whose "direct response and early reflection portions" are applied by subsystems 12, ..., 14).
  • EBRIRi direct response and early reflection portion
  • subsystem 15 has the same structure as subsystem 200 of Fig. 3, which includes a bank of feedback delay networks (203, 204, ..., 205) configured to apply a common late reverberation to a monophonic downmix of the input signal channels asserted thereto.
  • a bank of feedback delay networks 203, 204, ..., 205
  • Subsystems 12,..., 14 of Fig. 2 can be implemented in any of a variety of ways (in either the time domain or a filterbank domain), with the preferred implementation for any specific application depending on various considerations, such as (for example) performance, computation, and memory.
  • each of subsystems 12,..., 14 is configured to convolve the channel asserted thereto with a FIR filter corresponding to the direct and early responses associated with the channel, with gain and delay properly set so that the outputs of the subsystems 12,..., 14 may be simply and efficiently combined with those of subsystem 15.
  • FIG. 3 is a block diagram of another embodiment of the inventive headphone virtualization system.
  • the Fig. 3 embodiment is similar to that of Fig. 2, with two (left and right channel) time domain signals being output from direct response and early reflection processing subsystem 100, and two (left and right channel) time domain signals being output from late reverberation processing subsystem 200.
  • Addition element 210 is coupled to the outputs of subsystems 100 and 200.
  • Element 210 is configured to combine (mix) the left channel outputs of subsystems 100 and 200 to generate the left channel, L, of the binaural audio signal output from the Fig. 3 virtualizer, and to combine (mix) the right channel outputs of subsystems 100 and 200 to generate the right channel, R, of the binaural audio signal output from the Fig. 3 virtualizer.
  • Element 210 can be implemented to simply sum
  • the channels, X ; of the multi-channel audio input signal are directed to, and undergo processing in, two parallel processing paths: one through direct response and early reflection processing subsystem 100; the other through late reverberation processing subsystem 200.
  • the Fig. 3 system is configured to apply a BRIR, to each channel, i.
  • Each BRIR / can be decomposed into two portions: a direct response and early reflection portion (applied by subsystem 100), and a late reverberation portion (applied by subsystem 200).
  • direct response and early reflection processing subsystem 100 thus generates the direct response and the early reflections portions of the binaural audio signal which is output from the virtualizer
  • late reverberation processing subsystem (“late reverberation generator") 200 thus generates the late reverberation portion of the binaural audio signal which is output from the virtualizer.
  • the outputs of subsystems 100 and 200 are mixed (by addition subsystem 210) to generate the binaural audio signal, which is typically asserted from subsystem 210 to a rendering system (not shown) in which it undergoes binaural rendering for playback by headphones.
  • a typical binaural audio signal output from element 210 is perceived at the listener's eardrums as sound from "N" loudspeakers (where N >2 and N is typically equal to 2, 5 or 7) at any of a wide variety of positions, including positions in front of, behind, and above the listener.
  • N loudspeakers
  • Reproduction of output signals generated in operation of the Fig. 3 system can give the listener the experience of sound that comes from more than two (e.g., five or seven) "surround” sources. At least some of these sources are virtual.
  • Direct response and early reflection processing subsystem 100 can be implemented in any of a variety of ways (in either the time domain or a filterbank domain), with the preferred implementation for any specific application depending on various considerations, such as (for example) performance, computation, and memory.
  • subsystem 100 is configured to convolve each channel asserted thereto with a FIR filter corresponding to the direct and early responses associated with the channel, with gain and delay properly set so that the outputs of subsystems 100 may be simply and efficiently combined (in element 210) with those of subsystem 200.
  • late reverberation generator 200 includes downmixing subsystem 201, analysis filterbank 202, a bank of FDNs (FDNs 203, 204, ..., and 205), and synthesis filterbank 207, coupled as shown.
  • Subsystem 201 is configured to downmix the channels of the multi-channel input signal into a mono downmix
  • analysis filterbank 202 is configured to apply a transform to the mono downmix to split the mono downmix into "K" frequency bands, where K is an integer.
  • the filterbank domain values (output from filterbank 202) in each different frequency band are asserted to a different one of the FDNs 203, 204, ..., 205 (there are "K" of these FDNs, each coupled and configured to apply a late reverberation portion of a BRIR to the filterbank domain values asserted thereto).
  • the filterbank domain values are preferably decimated in time to reduce the computational complexity of the FDNs.
  • each input channel (to subsystem 100 and subsystem 201 of Fig. 3) can be processed in its own FDN (or bank of FDNs) to simulate the late reverberation portion of its BRIR.
  • FDN bank of FDNs
  • the late-reverberation portion of BRIRs associated with different sound source locations are typically very different in terms of root-mean square differences in the impulse responses, their statistical attributes such as their average power spectrum, their energy decay structure, the modal density, peak density and alike are often very similar.
  • the late reverberation portion of a set of BRIRs is typically perceptually quite similar across channels and consequently, it is possible to use one common FDN or bank of FDNs (e.g., FDNs 203, 204, ..., 205) to simulate the late-reverberation portion of two or more BRIRs.
  • one such common FDN or bank of FDNs
  • the input thereto is comprised of one or more downmixes constructed from the input channels.
  • the downmix is a monophonic downmix (asserted at the output of subsystem 201) of all input channels.
  • each of the FDNs 203, 204, ..., and 205 is implemented in the filterbank domain, and is coupled and configured to process a different frequency band of the values output from analysis filterbank 202, to generate left and right reverbed signals for each band.
  • the left reverbed signal is a sequence of filterbank domain values
  • right reverbed signal is another sequence of filterbank domain values.
  • Synthesis filterbank 207 is coupled and configured to apply a frequency domain-to- time domain transform to the 2K sequences of filterbank domain values (e.g., QMF domain frequency components) output from the FDNs, and to assemble the transformed values into a left channel time domain signal (indicative of audio content of the mono downmix to which late reverberation has been applied) and a right channel time domain signal (also indicative of audio content of the mono downmix to which late reverberation has been applied). These left channel and right channel signals are output to element 210.
  • filterbank domain values e.g., QMF domain frequency components
  • each of the FDNs 203, 204, ..., and 205 is implemented in the QMF domain, and filterbank 202 transforms the mono downmix from subsystem 201 into the QMF domain (e.g., the hybrid complex quadrature mirror filter (HCQMF) domain), so that the signal asserted from filterbank 202 to an input of each of FDNs 203, 204, ..., and 205 is a sequence of QMF domain frequency components.
  • the QMF domain e.g., the hybrid complex quadrature mirror filter (HCQMF) domain
  • the signal asserted from filterbank 202 to FDN 203 is a sequence of QMF domain frequency components in a first frequency band
  • the signal asserted from filterbank 202 to FDN 204 is a sequence of QMF domain frequency components in a second frequency band
  • the signal asserted from filterbank 202 to FDN 205 is a sequence of QMF domain frequency
  • synthesis filterbank 207 is configured to apply a QMF domain-to-time domain transform to the 2K sequences of output QMF domain frequency components from the FDNs, to generate the left channel and right channel late-reverbed time-domain signals which are output to element 210.
  • synthesis filterbank 207 left and right channels, comprising frequency-domain or QMF domain samples, output from each of FDNs 203, 204, and 205) and two outputs from 207 (left and right channels, each consisting of time domain samples).
  • filterbank 207 would typically be implemented as two synthesis filterbanks: one (to which the three left channels from FDNs 203, 204, and 205 would be asserted) configured to generate the time- domain left channel signal output from filterbank 207; and a second one (to which the three right channels from FDNs 203, 204, and 205 would be asserted) configured to generate the time-domain right channel signal output from filterbank 207.
  • control subsystem 209 is coupled to each of the FDNs 203, 204, ..., 205, and configured to assert control parameters to each of the FDNs to determine the late reverberation portion (LBRIR) which is applied by subsystem 200. Examples of such control parameters are described below. It is contemplated that in some implementations control subsystem 209 is operable in real time (e.g., in response to user commands asserted thereto by an input device) to implement real time variation of the late reverberation portion
  • LBRIR LBRIR
  • subsystem 200 applies subsystem 200 to the monophonic downmix of input channels.
  • the input signal to the Fig. 2 system is a 5.1-channel signal (whose full frequency range channels are in the following channel order: L, R, C, Ls, Rs), all the full frequency range channels have the same source distance, and downmixing subsystem 201 can be implemented as the following downmix matrix, which simply sums the full frequency range channels to form a mono downmix:
  • downmixing subsystem 201 would be implemented to form two downmix signals:
  • the upmixing to the reverb tanks is:
  • the all-pass filtering (in element 301 in each of FDNs 203, 204, ..., and 205) needs to be applied twice. Diversity would be introduced for the late responses of (L, Ls), (R, Rs) and C despite all of them having the same macro attributes. When the input signal channels have different source distances, proper delays and gains would still need to be applied in the downmixing process.
  • the downmixing process implemented by subsystem 201 depends on the source distance (between the sound source and assumed listener position) for each channel to be downmixed, and the handling of direct response.
  • the delay of the direct response 3 ⁇ 4 is:
  • subsystem 201 can implement a straight downmixing of all channels because the delay and level of the late reverberation is generally insensitive to the source location.
  • virtualizers e.g., subsystem 100 of the virtualizer of Fig. 3 may be implemented to time-align the direct responses for the input channels having different source distances.
  • a channel with source distance d should be delayed by ⁇ dmax - d)lv s before being downmixed with other channels.
  • dmax denotes the maximum possible source distance.
  • Virtualizers may also be implemented to compress the dynamic range of the direct responses.
  • the direct response for a channel with source distance d may be scaled by a factor of d ⁇ a , where 0 ⁇ a ⁇ 1, instead of d ⁇ ⁇
  • downmixing subsystem 201 may need to be implemented to scale a channel with source distance by a factor of d l a before downmixing it with other scaled channels.
  • the feedback delay network of Fig. 4 is an exemplary implementation of FDN 203 (or 204 or 205) of Fig. 3.
  • the Fig. 4 system has four reverb tanks (each including a gain stage, g t , and a delay line, z 'm , coupled to the output of the gain stage) variations thereon the system (and other FDNs employed in embodiments of the inventive virtualizer) implement more than or less than four reverb tanks.
  • the FDN of Fig. 4 includes input gain element 300, all-pass filter (APF) 301 coupled to the output of element 300, addition elements 302, 303, 304, and 305 coupled to the output of APF 301, and four reverb tanks (each comprising a gain element, g k (one of elements 306), a delay line, z ⁇ Mt (one of elements 307) coupled thereto, and a gain element, l/g ⁇ (one of elements 309) coupled thereto, where 0 ⁇ k - 1 ⁇ 3) each coupled to the output of a different one of elements 302, 303, 304, and 305.
  • APF all-pass filter
  • Unitary matrix 308 is coupled to the outputs of the delay lines 307, and is configured to assert a feedback output to a second input of each of elements 302, 303, 304, and 305.
  • the outputs of two of gain elements 309 are asserted to inputs of addition element 310, and the output of element 310 is asserted to one input of output mixing matrix 312.
  • the outputs of the other two of gain elements 309 are asserted to inputs of addition element 311, and the output of element 311 is asserted to the other input of output mixing matrix 312.
  • Element 302 is configured to add the output of matrix 308 which corresponds to delay line z 'nl (i.e., to apply feedback from the output of delay line z nX via matrix 308) to the input of the first reverb tank.
  • Element 303 is configured to add the output of matrix 308 which corresponds to delay line z ⁇ n2 (i.e., to apply feedback from the output of delay line z ⁇ n2 via matrix 308) to the input of the second reverb tank.
  • Element 304 is configured to add the output of matrix 308 which corresponds to delay line z " " 3 (i.e., to apply feedback from the output of delay line z " " 3 via matrix 308) to the input of the third reverb tank.
  • Element 305 is configured to add the output of matrix 308 which corresponds to delay line z ⁇ n (i.e., to apply feedback from the output of delay line z ⁇ n via matrix 308) to the input of the fourth reverb tank.
  • Input gain element 300 of the FDN of Fig. 4 is coupled to receive one frequency band of the transformed monophonic downmix signal (a filterbank domain signal) which is output from analysis filterbank 202 of Fig. 3.
  • Input gain element 300 applies a gain (scaling) factor, Gi n , to the filterbank domain signal asserted thereto.
  • Gj n scaling factors
  • the scaling factors Gj n (implemented by all the FDNs 203, 204, ..., 205 of Fig. 3) for all the frequency bands control the spectral shaping and level of the late reverberation. Setting the input gains, Gi n , in all the FDNs of the Fig. 3 virtualizer often takes into account of the following targets:
  • DLR direct- to-late ratio
  • Gi n sqrt(ln(10 6 )/(T60 * DLR)), where T60 is the reverb decay time defined as the time it takes for the reverberation to decay by 60 dB (it is determined by the reverb delays and reverb gains discussed below), and "In” denotes the natural logarithmic function.
  • the input gain factor, G ln may be dependent on the content that is being processed.
  • One application of such content dependency is to ensure that the energy of the downmix in each time/frequency segment is equal to the sum of the energies of the individual channel signals that are being downmixed, irrespective of any correlation that may exist between the input channel signals.
  • the input gain factor can be (or can be multiplied by) a term similar or equal to:
  • i is an index over all downmix samples of a given time/frequency tile or subband
  • y(i) are the downmix samples for the tile
  • x,(/) is the input signal (for channel X, ⁇ ) asserted to the input of downmixing subsystem 201.
  • the signal asserted from the output of all-pass filter (APF) 301 to the inputs of the reverb tanks is a sequence of QMF domain frequency components.
  • APF 301 is applied to output of gain element 300 to introduce phase diversity and increased echo density.
  • one or more all-pass delay filters may be applied to: the individual inputs to downmixing subsystem 201 (of Fig. 3) before they are downmixed in subsystem 201 and processed by the FDN; or in the reverb tank feed-forward or feed-back paths depicted in Fig. 4 (e.g., in addition or replacement of delay lines z ⁇ Mk in each reverb tank; or the outputs of the FDN (i.e., to the outputs of output matrix 312).
  • the reverb delays In implementing the reverb tank delays, z n the reverb delays should be mutually prime numbers to avoid the reverb modes aligning at the same frequency. The sum of the delays should be large enough to provide sufficient modal density in order to avoid artificial sounding output. But the shortest delays should be short enough to avoid excess time gap between the late reverberation and the other components of the BRIR.
  • the reverb tank outputs are initially panned to either the left or the right binaural channel.
  • the sets of reverb tank outputs being panned to the two binaural channels are equal in number and mutually exclusive. It is also desired to balance the timing of the two binaural channels. So if the reverb tank output with the shortest delay goes to one binaural channel, the one with the second shortest delay would go the other channel.
  • the reverb tank delays can be different across frequency bands so as to change the modal density as a function of frequency. Generally, lower frequency bands require higher modal density, thus the longer reverb tank delays.
  • the phases of the reverb tank gains introduce fractional delays to overcome the issues related to reverb tank delays being quantized to the downsample-factor grid of the filterbank.
  • the unitary feedback matrix 308 provides even mixing among the reverb tanks in the feedback path.
  • gain elements 309 apply a normalization gain, l/lg,l to the output of each reverb tank, to remove the level impact of the reverb tank gains while preserving fractional delays introduced by their phases.
  • Output mixing matrix 312 (also identified as matrix M out ) is a 2 x 2 matrix configured to mix the unmixed binaural channels (the outputs of elements 310 and 311, respectively) from initial panning to achieve output left and right binaural channels (the L and R signals asserted at the output of matrix 312) having desired interaural coherence.
  • the ummixed binaural channels are close to being uncorrelated after the initial panning because they do not consist of any common reverb tank output. If the desired interaural coherence is Coh, where ICohl ⁇ 1, output mixing matrix 312 may be defined as: cos ⁇ sin ⁇ , where arcsin(Co/z)/2
  • the output mixing matrix 312 so as to have form as set forth in the previous paragraph in odd-numbered frequency bands (i.e., in the first frequency band (processed by FDN 203 of Fig. 3), the third frequency band, and so on), and to have the following form in even-numbered frequency bands (i.e., in the second frequency band (processed by FDN 204 of Fig. 3), the fourth frequency band, and so on): sin ⁇ cos ⁇
  • matrix 312 can be implemented to be identical in the FDNs for all frequency bands, but the channel order of its inputs may be switched for alternating ones of the frequency bands (e.g., the output of element 310 may be asserted to the first input of matrix 312 and the output of element 311 may be asserted to the second input of matrix 312 in odd frequency bands, and the output of element 311 may be asserted to the first input of matrix 312 and the output of element 310 may be asserted to the second input of matrix 312 in even frequency bands.
  • the width of the frequency range over which matrix 312's form is alternated can be increased (e.g., it could alternated once for every two or three consecutive bands), or the value of ⁇ in the above expressions (for the form of matrix 312) can be adjusted to ensure that the average coherence equals the desired value to compensate for spectral overlap of consecutive frequency bands.
  • each of the FDNs can be configured to achieve the target attributes.
  • the input gain (Gi n ) and reverb tank gains and delays (g t and «, ⁇ ) and parameters of output matrix M out for each FDN can be set (e.g., by control values asserted thereto by control subsystem 209 of Fig. 3) to achieve the target attributes in accordance with the relationships described herein.
  • setting the frequency-dependent attributes by models with simple control parameters is often sufficient to generate natural sounding late reverberation that matches specific acoustic environments.
  • T 6 o a target reverb decay time for the FDN for each specific frequency band of an embodiment of the inventive virtualizer can be determined, by determining the target reverb decay time (T 60 ) for each of a small number of frequency bands.
  • the level of FDN response decays exponentially over time.
  • T 6 o is inversely proportional to the decay factor, df (defined as dB decay over a unit of time):
  • the decay factor, df depends on frequency and generally increases linearly versus the log-frequency scale, so the reverb decay time is also a function of frequency which generally decreases as frequency increases. Therefore, if one determines (e.g., sets) the T 6 o values for two frequency points, the T 6 o curve for all frequencies is determined. For example, if the reverb decay times for frequency points fA and ⁇ are T 6O,A and T 6O,B , respectively, the T 6 o curve is defined as: ⁇ ⁇ , ⁇ ⁇ 6 ⁇ , ⁇ 1 ° ⁇ ⁇ ⁇
  • the Interaural coherence (Coh) of the late reverberation largely follows the pattern of a diffuse sound field. It can be modeled by a sine function up to a cross-over frequency f c , and a constant above the cross-over frequency.
  • a simple model for the Coh curve is:
  • Coh m i n and Coh max satisfy -1 ⁇ Coh min ⁇ Coh max ⁇ 1, and control the range of Coh.
  • the optimal cross-over frequency fc depends on the head size of the listener. A too high fc leads to internalized sound source image, while a too small value leads to dispersed or split sound source image.
  • DLR direct-to-late ratio
  • the Direct- to-late ratio (DLR) in dB, generally increases linearly versus the log-frequency scale. It can be controlled by setting DLR IK (DLR in dB @ 1 kHz) and DLR s i ope (in dB per lOx frequency).
  • DLR IK DLR in dB @ 1 kHz
  • DLR s i ope in dB per lOx frequency.
  • low DLR in the lower frequency range often results in excessive combing artifact.
  • two modifying mechanisms are added to the control the DLR:
  • HPF s i ope in dB per lOx frequency
  • DLR(f) m a x ⁇ DLR 1K + DLR lope log w ⁇ f / 1000) , DLR ⁇ )
  • both DLRi K and DLR m i n are the values for a nominal source distance, such as 1 meter.
  • the FDNs of the inventive virtualizer are implemented in the time-domain, or they have hybrid implementation with FDN-based impulse response capturing and FIR-based signal filtering.
  • the inventive virtualizer is implemented to allow application of energy compensation as a function of frequency during performance of the downmixing step which generates the downmixed input signal for the late reverberation processing subsystem;
  • the inventive virtualizer is implemented to allow for manual or automatic control of the applied late reverberation attributes in response to external factors (i.e., in response to the setting of control parameters).
  • the filterbank-domain FDN structure of typical embodiments of the inventive virtualizer can be translated into the time domain, and each FDN structure can be implemented in the time domain in a class of embodiments of the virtualizer.
  • the subsystems which apply the input gain factor (Gi n ), reverb tank gains (gi), and normalization gains are replaced by filters with similar amplitude responses in order to allow frequency-dependent controls.
  • the output mixing matrix (M out ) is also replaced by a matrix of filters. Unlike for the other filters, the phase response of this matrix of filters is critical as power conservation and interaural coherence might be affected by the phase response.
  • the reverb tank delays in a time domain implementation may need to be slightly varied (from their values in a filterbank domain implementation) to avoid sharing the filterbank stride as a common factor. Due to various constraints, the performance of time-domain implementations of the FDNs of the inventive virtualizer might not exactly match that of filterbank-domain implementations thereof.
  • This hybrid implementation of the inventive late reverberation processing subsystem is a variation on late reverberation processing subsystem 200 of Fig. 4, which implements FDN-based impulse response capturing and FIR-based signal filtering.
  • the Fig. 8 embodiment includes elements 201, 202, 203, 204, 205, and 207 which are identical to the identically numbered elements of subsystem 200 of Fig. 3. The above description of these elements will not be repeated with reference to Fig. 8.
  • unit impulse generator 211 is coupled to assert an input signal (a pulse) to analysis filterbank 202.
  • An LBRIR filter 208 (mono-in, stereo-out) implemented as an FIR filter applies the appropriate late reverberation portion of the BRIR (the LBRIR) to the monophonic downmix output from subsystem 201.
  • elements 211, 202, 203, 204, 205, and 207 are a processing side-chain to the LBRIR filter 208.
  • impulse generator 211 is operated to assert a unit impulse to element 202, and the resulting output from filterbank 207 is captured and asserted to filter 208 (to set the filter 208 to apply the new LBRIR determined by the output of filterbank 207).
  • filter 208 To accelerate the time lapse from the LBRIR setting change to the time that the new LBRIR takes effect, the samples of the new LBRIR can start replacing the old LBRIR as they becomes available.
  • initial zeros of the LBRIR can be discarded.
  • the side-chain filterbank-domain late reverberation processor (e.g., that implemented by elements 211, 202, 203, 204, ... , 205, and 207 of Fig. 8) can be used to capture the effective FIR impulse response to be applied by filter 208.
  • FIR filter 208 can implement this captured FIR response and apply it directly to the mono downmix of input channels (during virtualization of the input channels).
  • the various FDN parameters and thus the resulting late -reverberation attributes can be manually tuned and subsequently hard-wired into an embodiment of the inventive late reverberation processing subsystem, for example by means of one or more presets that can be adjusted (e.g., by operating control subsystem 209 of Fig. 3) by the user of the system.
  • the end-user may manually control the FDN parameters, for example by means of a user-interface on a display (e.g., implemented by an embodiment of control subsystem 209 of Fig. 3) or switching presets using physical controls (e.g., implemented by an embodiment of control subsystem 209 of Fig. 3). In this way, the end user can adapt the room simulation according to taste, the environment, or the content;
  • the author of the audio content to be virtualized may provide settings or desired parameters that are conveyed with the content itself, for example by metadata provided with the input audio signal.
  • metadata may be parsed and employed (e.g., by an embodiment of control subsystem 209 of Fig. 3) to control the relevant FDN parameters.
  • Metadata may therefore be indicative of properties such as the reverberation time, the reverberation level, direct-to-reverberation ratio, and so on, and these properties may be time varying, signaled by time-varying metadata;
  • a playback device may be aware of its location or environment, by means of one or more sensors.
  • a mobile device may use GSM networks, global positioning system (GPS), known WiFi access points, or any other location service to determine where the device is.
  • GPS global positioning system
  • data indicative of location and/or environment may be employed (e.g., by an embodiment of control subsystem 209 of Fig. 3) to control the relevant FDN parameters.
  • the FDN parameters may be modified in response to the location of the device, e.g. to mimic the physical environment;
  • a cloud service or social media may be used to derive the most common settings consumers are using in a certain
  • users may upload their current settings to a cloud or social media service, in association with the (known) location to make available for other users, or themselves;
  • a playback device may contain other sensors such as a camera, light sensor, microphone, accelerometer, gyroscope, to determine the activity of the user and the environment the user is in, to optimize FDN parameters for that particular activity and/or environment; 6.
  • the FDN parameters may be controlled by the audio content. Audio classification algorithms, or manually- annotated content may indicate whether segments of the audio comprise speech, music, sound effects, silence, and alike. FDN parameters may be adjusted according to such labels. For example, the direct- to-reverberation ratio may be reduced for dialog to improve the dialog intelligibility. Additionally, video analysis may be used to determine the location of a current video segment, and FDN parameters may be adjusted accordingly to more closely simulate the environment depicted in the video; and/or
  • a solid-state playback system may use different FDN settings as a mobile device, e.g., settings may be device dependent.
  • a solid-state system present in a living room may simulate a typical (fairly reverberant) living room scenario with distant sources, while a mobile device may render content closer to the listener.
  • FDNs e.g., an FDN
  • fractional delay element is connected in each reverb tank in series with a delay line that applies integer delay equal to an integer number of sample periods (e.g., each fractional delay element is positioned after or otherwise in series with one of delay lines).
  • the invention is a headphone virtualization method for generating a binaural signal in response to a set of channels (e.g., each of the channels, or each of the full frequency range channels) of a multi-channel audio input signal, including steps of: (a) applying a binaural room impulse response (BRIR) to each channel of the set (e.g., by convolving each channel of the set with a BRIR corresponding to said channel, in subsystems 100 and 200 of Fig. 3, or in subsystems 12, 14, and 15 of Fig. 2), thereby generating filtered signals (e.g., the outputs of subsystems 100 and 200 of Fig.
  • BRIR binaural room impulse response
  • Fig. 3 or the outputs of subsystems 12, ..., 14, and 15 of Fig. 2), including by using at least one feedback delay network (e.g., FDNs 203, 204, ..., 205 of Fig. 3) to apply a common late reverberation to a downmix (e.g., a monophonic downmix) of the channels of the set; and (b) combining the filtered signals (e.g., in subsystem 210 of Fig. 3, or the subsystem comprising elements 16 and 18 of Fig. 2) to generate the binaural signal.
  • at least one feedback delay network e.g., FDNs 203, 204, ..., 205 of Fig. 3
  • a downmix e.g., a monophonic downmix
  • step (a) includes a step of applying to each channel of the set a "direct response and early reflection" portion of a single-channel BRIR for the channel (e.g., in subsystem 100 of Fig. 3 or subsystems 12, 14 of Fig. 2), and the common late reverberation has been generated to emulate collective macro attributes of late reverberation portions of at least some (e.g., all) of the single-channel BRIRs.
  • each of the FDNs is implemented in the hybrid complex quadrature mirror filter (HCQMF) domain or the quadrature mirror filter (QMF) domain, and in some such embodiments, frequency-dependent spatial acoustic attributes of the binaural signal are controlled (e.g., using control subsystem 209 of Fig. 3) by controlling the configuration of each FDN employed to apply late reverberation.
  • HCQMF hybrid complex quadrature mirror filter
  • QMF quadrature mirror filter
  • frequency-dependent spatial acoustic attributes of the binaural signal are controlled (e.g., using control subsystem 209 of Fig. 3) by controlling the configuration of each FDN employed to apply late reverberation.
  • a monophonic downmix of the channels e.g., the downmix generated by subsystem 201 of Fig. 3) is used as the input to the FDNs for efficient binaural rendering of audio content of the multi-channel signal.
  • the downmixing process is controlled based on a source distance for each channel (i.e., distance between an assumed source of the channel's audio content and an assumed user position) and depends on the handling of the direct responses corresponding to the source distances in order to preserve the temporal and level structure of each BRIR (i.e., each BRIR determined by the direct response and early reflection portions of a single-channel BRIR for one channel, together with the common late reverberation for a downmix including the channel).
  • each BRIR determined by the direct response and early reflection portions of a single-channel BRIR for one channel, together with the common late reverberation for a downmix including the channel.
  • the channels to be downmixed can be time- aligned and scaled in different ways during the downmixing, the proper level and temporal relationship between the direct response, early reflection, and common late reverberation portions of the BRIR for each channel should be maintained.
  • Typical embodiments in this class include a step of adjusting (e.g., using control subsystem 209 of Fig. 3) the FDN coefficients corresponding to frequency-dependent attributes (e.g., reverb decay time, interaural coherence, modal density, and direct-to-late ratio). This enables better matching of acoustic environments and more natural sounding outputs.
  • step of adjusting e.g., using control subsystem 209 of Fig. 3
  • the FDN coefficients corresponding to frequency-dependent attributes e.g., reverb decay time, interaural coherence, modal density, and direct-to-late ratio.
  • the invention is a method for generating a binaural signal in response to a multi-channel audio input signal, by applying a binaural room impulse response (BRIR) to each channel (e.g., by convolving each channel with a corresponding BRIR) of a set of the channels of the input signal (e.g., each of the input signal's channels or each full frequency range channel of the input signal), including by: processing each channel of the set in a first processing path (e.g., implemented by subsystem 100 of Fig. 3 or subsystems 12, ..., 14 of Fig.
  • BRIR binaural room impulse response
  • a direct response and early reflection portion e.g., the EBRIR applied by subsystem 12, 14, or 15 of Fig. 2
  • a single-channel BRIR for the channel e.g., the EBRIR applied by subsystem 12, 14, or 15 of Fig. 2
  • processing a downmix e.g., a monophonic downmix
  • the second processing path is configured to model, and apply to the downmix, a common late reverberation (e.g., the LBRIR applied by subsystem 15 of Fig. 2).
  • the common late reverberation emulates collective macro attributes of late reverberation portions of at least some (e.g., all) of the single-channel BRIRs.
  • the second processing path includes at least one FDN (e.g., one FDN for each of multiple frequency bands).
  • FDN e.g., one FDN for each of multiple frequency bands.
  • a mono downmix is used as the input to all reverb tanks of each FDN implemented by the second processing path.
  • mechanisms are provided (e.g., control subsystem 209 of Fig. 3) for systematic control of macro attributes of each FDN in order to better simulate acoustic environments and produce more natural sounding binaural virtualization.
  • each FDN is typically implemented in the hybrid complex quadrature mirror filter (HCQMF) domain, the frequency domain, domain, or another filterbank domain, and a different FDN is used for each frequency band.
  • a primary benefit of implementing the FDNs in a filterbank domain is to allow application of reverb with frequency-dependent reverberation properties.
  • the FDNs are implemented in any of a wide variety of filterbank domains, using any of a variety of filterbanks, including, but not limited to quadrature mirror filters (QMF), finite-impulse response filters (FIR filters), infinite-impulse response filters (IIR filters), or cross-over filters.
  • Some embodiments in the first class (and the second class) implement one or more of the following features:
  • a filterbank domain e.g., hybrid complex quadrature mirror filter-domain
  • FDN implementation e.g., the FDN implementation of Fig. 4
  • hybrid filterbank domain FDN implementation and time domain late reverberation filter implementation e.g., the structure described with reference to Fig. 8
  • a filterbank domain typically allows independent adjustment of parameters and/or settings of the FDN for each frequency band (which enables simple and flexible control of frequency-dependent acoustic attributes), for example, by providing the ability to vary reverb tank delays in different bands so as to change the modal density as a function of frequency;
  • the specific downmixing process, employed to generate (from the multi-channel input audio signal) the downmixed (e.g., monophonic downmixed) signal processed in the second processing path, depends on the source distance of each channel and the handling of direct response in order to maintain proper level and timing relationship between the direct and late responses;
  • An all-pass filter (e.g., APF 301 of Fig. 4) is applied in the second processing path (e.g., at the input or output of a bank of FDNs) to introduce phase diversity and increased echo density without changing the spectrum and/or timbre of the resulting reverberation;
  • Fractional delays are implemented in the feedback path of each FDN in a complex- valued, multi-rate structure to overcome issues related to delays quantized to the
  • the reverb tank outputs are linearly mixed directly into the binaural channels (e.g., by matrix 312 of Fig. 4), using output mixing coefficients which are set based on the desired interaural coherence in each frequency band.
  • the mapping of reverb tanks to the binaural output channels is alternating across frequency bands to achieve balanced delay between the binaural channels.
  • normalizing factors are applied to the reverb tank outputs to equalize their levels while conserving fractional delay and overall power;
  • Frequency-dependent reverb decay time is controlled (e.g., using control subsystem 209 of Fig. 3) by setting proper combinations of reverb tank delays and gains in each frequency band to simulate real rooms;
  • one scaling factor is applied (e.g., by elements 306 and 309 of Fig. 4) per frequency band (e.g., at either the input or output of the relevant processing path), to:
  • DLR frequency-dependent direct-to-late ratio
  • Simple parametric models are implemented (e.g., by control subsystem 209 of Fig. 3) for controlling essential frequency-dependent attributes of the late reverberation, such as reverb decay time, interaural coherence, and/or direct- to-late ratio.
  • the filterbank-domain FDN structures of typical embodiments of the inventive system e.g., the FDN of Fig. 4 in each frequency band
  • FDN structures implemented in the time domain e.g., FDN 220 of Fig. 10, which may be implemented as shown in Fig. 9).
  • the subsystems of filterbank-domain embodiments which apply an input gain factor (Gi n ), reverb tank gains (gi), and normalization gains are replaced by time-domain filters (and/or gain elements) in order to allow frequency- dependent controls.
  • the output mixing matrix of a typical filterbank-domain implementation e.g., output mixing matrix 312 of Fig. 4
  • an output set of time-domain filters e.g., elements 500-503 of the Fig. 11 implementation of element 424 of Fig. 9.
  • the phase response of this output set of filters is typically critical (because power
  • the reverb tank delays are varied (e.g., slightly varied) from their values in a corresponding filterbank-domain implementation (e.g., to avoid sharing the filterbank stride as a common factor).
  • FIG. 10 is a block diagram of an embodiment of the inventive headphone
  • FIG. 10 two (left and right channel) time domain signals are output from direct response and early reflection processing subsystem 100, and two (left and right channel) time domain signals are output from late reverberation processing subsystem 221.
  • Addition element 210 is coupled to the outputs of subsystems 100 and 200.
  • Element 210 is configured to combine (mix) the left channel outputs of subsystems 100 and 221 to generate the left channel, L, of the binaural audio signal output from the Fig. 10 virtualizer, and to combine (mix) the right channel outputs of subsystems 100 and 221 to generate the right channel, R, of the binaural audio signal output from the Fig. 10 virtualizer.
  • Element 210 can be implemented to simply sum corresponding left channel samples output from subsystems 100 and 221 to generate the left channel of the binaural output signal, and to simply sum corresponding right channel samples output from subsystems 100 and 221 to generate the right channel of the binaural output signal, assuming that appropriate level adjustments and time alignments are implemented in the subsystems 100 and 221.
  • the multi-channel audio input signal (which has channels, X,) are directed to, and undergo processing in, two parallel processing paths: one through direct response and early reflection processing subsystem 100; the other through late reverberation processing subsystem 221.
  • the Fig. 10 system is configured to apply a BRIR, to each channel, X,.
  • Each BRIR can be decomposed into two portions: a direct response and early reflection portion (applied by subsystem 100), and a late reverberation portion (applied by subsystem 221).
  • direct response and early reflection processing subsystem 100 thus generates the direct response and the early reflections portions of the binaural audio signal which is output from the virtualizer
  • late reverberation processing subsystem (“late reverberation generator") 221 thus generates the late reverberation portion of the binaural audio signal which is output from the virtualizer.
  • the outputs of subsystems 100 and 221 are mixed (by subsystem 210) to generate the binaural audio signal, which is typically asserted from subsystem 210 to a rendering system (not shown) in which it undergoes binaural rendering for playback by headphones.
  • Downmixing subsystem 201 (of late reverberation processing subsystem 221) is configured to downmix the channels of the multi-channel input signal into a mono downmix (which is time domain signal), and FDN 220 is configured to apply the late reverberation portion to the mono downmix.
  • the FDN of Fig. 9 includes input filter 400, which is coupled to receive a mono downmix (e.g., generated by subsystem 201 of the Fig. 10 system) of all channels of a multi-channel audio input signal.
  • the FDN of Fig. 9 also includes all-pass filter (APF) 401 (which corresponds to APF 301 of Fig. 4) coupled to the output of filter 400, input gain element 401A coupled to the output of filter 401, addition elements 402, 403, 404, and 405 (which correspond to addition elements 302, 303, 304, and 305 of Fig.
  • APF all-pass filter
  • Each reverb tank is coupled to the output of a different one of elements 402, 403, 404, and 405, and comprises one of reverb filters 406 and 406A, 407 and 407A, 408 and 408A, and 409 and 409A, one of delay lines 410, 411, 412, and 413 (corresponding to delay lines 307 of Fig. 4) coupled thereto, and one of gain elements 417, 418, 419, and 420 coupled to the output of one of the delay lines.
  • Unitary matrix 415 (corresponding to unitary matrix 308 of Fig. 4, and typically implemented to be identical to matrix 308) is coupled to the outputs of the delay lines 410, 411, 412, and 413.
  • Matrix 415 is configured to assert a feedback output to a second input of each of elements 402, 403, 404, and 405.
  • Output mixing matrix 312 of Fig. 4 (also identified as matrix M out ) is a 2 x 2 matrix configured to mix the unmixed binaural channels (the outputs of elements 310 and 311, respectively) from initial panning to generate left and right binaural output channels (the left ear, "L", and right ear, "R", signals asserted at the output of matrix 312) having desired interaural coherence.
  • This initial panning is implemented by elements 310 and 311, each of which combines two reverb tank outputs to generate one of the unmixed binaural channels, with the reverb tank output having the shortest delay being asserted to an input of element 310 and the reverb tank output having the second shortest delay asserted to an input of element 311.
  • Elements 422 and 423 of the Fig. 9 embodiment perform the same type of initial panning (on the time domain signals asserted to their inputs) as elements 310 and 311 (in each frequency band) of the Fig. 4 embodiment perform on the streams of filterbank domain components (in the relevant frequency band) asserted to their inputs.
  • the unmixed binaural channels (output from elements 310 and 311 of Fig. 4, or from elements 422 and 423 of Fig. 9), which are close to being uncorrelated because they do not consist of any common reverb tank output, may be mixed (by matrix 312 of Fig. 4 or stage 424 of Fig. 9) to implement a panning pattern which achieves a desired interaural coherence for the left and right binaural output channels.
  • the reverb tank delays are different in each FDN (i.e., the FDN of Fig. 9, or the FDN implemented for each different frequency band in Fig.
  • one unmixed binaural channel (the output of one of elements 310 and 311, or 422 and 423) constantly leads the other unmixed binaural channel (the output of the other one of elements 310 and 311, or 422 and 423).
  • the combination of reverb tank delays and panning pattern is identical across all the frequency bands, sound image bias would result. This bias can be mitigated if the panning pattern is alternated across the frequency bands such that the mixed binaural output channels lead and trail each other in alternating frequency bands.
  • the output mixing matrix 312 in odd-numbered frequency bands may be implemented to multiply the two inputs asserted thereto by a matrix having the following form: cos ⁇ sin ⁇
  • the above-noted sound image bias in the binaural output channels can be mitigated by implementing matrix 312 to be identical in the FDNs for all frequency bands, if the channel order of its inputs is switched for alternating ones of the frequency bands (e.g., the output of element 310 may be asserted to the first input of matrix 312 and the output of element 311 may be asserted to the second input of matrix 312 in odd frequency bands, and the output of element 311 may be asserted to the first input of matrix 312 and the output of element 310 may be asserted to the second input of matrix 312 in even frequency bands).
  • the output of element 310 may be asserted to the first input of matrix 312 and the output of element 311 may be asserted to the second input of matrix 312 in odd frequency bands
  • the output of element 311 may be asserted to the first input of matrix 312 and the output of element 310 may be asserted to the second input of matrix 312 in even frequency bands.
  • Fig. 9 (and other time-domain embodiments of an FDN of the inventive system), it is non-trivial to alternate panning based on frequency to address sound image bias that would otherwise result when the unmixed binaural channel output from element 422 constantly leads (or lags) the unmixed binaural channel output from element 423.
  • This sound image bias is addressed in a typical time-domain embodiment of an FDN of the inventive system in a different way than it is typically addressed in a filterbank-domain embodiment of an FDN of the inventive system.
  • Fig. 9 and other time-domain embodiments of an FDN of the inventive system
  • the relative gains of the unmixed binaural channels are determined by gain elements (e.g., elements 417, 418, 419, and 420 of Fig. 9) so as to compensate for the sound image bias that would otherwise result due to the noted unbalanced timing.
  • the stereo image is re-centered.
  • the reverb tank including gain element 417 applies a first gain to the output of element 417
  • the reverb tank including gain element 418 applies a second gain (different than the first gain) to the output of element 418, so that the first gain and the second gain attenuate the first unmixed binaural channel (output from element 422) relative to the second unmixed binaural channel (output from element 423).
  • the four delay lines 410, 411, 412, and 413 have increasing length, with increasing delay values nl, n2, n3, and n4, respectively.
  • filter 417 applies again of gi.
  • the output of filter 417 is a delayed version of the input to delay line 410 to which a gain of gi has been applied.
  • filter 418 applies a gain of g 2
  • filter 419 applies a gain of g 3
  • filter 420 applies a gain of g 4 .
  • the output of filter 418 is a delayed version of the input to delay line 411 to which a gain of g 2 has been applied
  • the output of filter 419 is a delayed version of the input to delay line 412 to which a gain of g 3 has been applied
  • the output of filter 420 is a delayed version of the input to delay line 413 to which a gain of g 4 has been applied.
  • gain values g g 2 , g 3 , and g 4 0.5.
  • the output stereo image is re- centered in accordance with an embodiment of the invention by attenuating the earliest- arriving signal (which has been panned to one side, by element 422 in the example) relative to the second-latest arriving signal (i.e., by choosing g ⁇ ⁇ g 3 ), and boosting the second- earliest signal (which has been panned to the other side, by element 423 in the example), relative to the latest arriving signal (i.e., by choosing g 4 ⁇ g 2 ).
  • Typical implementations of the time-domain FDN of Fig. 9 have the following differences and similarities to the filterbank domain (CQMF domain) FDN of Fig. 4:
  • 1/T S is the sample rate (1/T S is typically equal to 48K Hz
  • each delay is some integer multiple of the duration of a block of 64 samples (sample rate is typically 48K Hz), but in the time-domain there is more flexibility as to choice of each delay and thus more flexibility as to choice of the delay of each reverb tank);
  • the all-pass filter can be implemented by cascading several (e.g., three) all-pass filters.
  • All-pass filter 301 of Fig. 4 may be implemented by
  • input filter 400 is implemented so that it causes the direct-to-late ratio (DLR) of the BRIR to be applied by the Fig. 9 system to match (at least substantially) a target DLR, and so that the DLR of the BRIR to be applied by a virtualizer including the Fig. 9 system (e.g., the Fig. 10 virtualizer) can be changed by replacing filter 400 (or controlling a configuration of filter 400).
  • filter 400 is implemented as a cascade of filters (e.g., a first filter 400A and a second filter 400B, coupled as shown in Fig. 9A) to implement the target DLR and optionally also to implement desired DLR control.
  • the filters of the cascade are IIR filters (e.g., filter 400A is a first order Butterworth high pass filter (an IIR filter) configured to match the target low frequency characteristics, and filter 400B is a second order, low shelf IIR filter configured to match the target high frequency characteristics).
  • the filters of the cascade are IIR and FIR filters (e.g., filter 400A is a second order Butterworth high pass filter (an IIR filter) configured to match the target low frequency characteristics, and filter 400B is a 14 order FIR filter configured to match the target high frequency characteristics).
  • the direct signal is fixed, and filter 400 modifies the late signal to achieve the target DLR.
  • All-pass filter (APF) 401 is preferably implemented to perform the same function as does APF 301 of Fig. 4, namely to introduce phase diversity and increased echo density to generate more natural sounding FDN output.
  • APF 401 typically controls phase response while input filter 400 controls amplitude response.
  • filter 406 and gain element 406A together implement a reverb filter
  • filter 407 and gain element 407A together implement another reverb filter
  • filter 408 and gain element 408A together implement another reverb filter
  • filter 409 and gain element 409A together implement another reverb filter.
  • Each of filters 406, 407, 408, and 409 of Fig. 9 is preferably implemented as a filter with a maximal gain value close to one (unit gain)
  • each of gain elements 406A, 407A, 408A, and 409A is configured to apply a decay gain to the output of the corresponding one of filters 406, 407, 408, and 409 which matches the desired decay (after the relevant reverb tank delay, 3 ⁇ 4).
  • gain element 406 A is configured to apply a decay gain (decaygainO to the output of filter 406 to cause the output of element 406 A to have a gain such that the output of delay line 410 (after the reverb tank delay, n has a first target decayed gain
  • gain element 407A is configured to apply a decay gain (decaygain 2 ) to the output of filter 407 to cause the output of element 407 A to have a gain such that the output of delay line 411 (after the reverb tank delay, n 2 ) has a second target decayed gain
  • gain element 408A is configured to apply a decay gain (decaygain 3 ) to the output of filter 408 to cause the output of element 408A to have a gain such that the output of delay line 412 (after the reverb tank delay, n 3 ) has a third target decayed gain
  • gain element 409A is configured to apply a decay gain (decaygain 4 ) to the output of filter 409 to cause the
  • Each of filters 406, 407, 408, and 409, and each of elements 406A, 407A, 408A, and 409A of the Fig. 9 system is preferably implemented (with each of filters 406, 407, 408, and 409 preferably implemented as an IIR filter, e.g., a shelf filter or a cascade of shelf filters) to achieve a target T60 characteristic of the BRIR to be applied by a virtualizer including the Fig. 9 system (e.g., the Fig. 10 virtualizer), where "T60" denotes reverb decay time (T 60 ).
  • the shape of each shelf filter is determined so as to match the desired changing curve from low frequency to high frequency.
  • each reverb filter comprising filter 406 and gain element 406A is also a shelf filter (or cascade of shelf filters).
  • each reverb filter comprising filter 407 (or 408 or 409) and the corresponding gain element (407A, 408A, or 409A) is also a shelf filter (or cascade of shelf filters).
  • Fig. 9B is an example of filter 406 implemented as a cascade of a first shelf filter 406B and a second shelf filter 406C, coupled as shown in Fig. 9B.
  • Each of filters 407,408, and 409 may be implement as is the Fig. 9B implementation of filter 406.
  • the decay gains (decaygain,- ) applied by elements 406A, 407A, 408A, and 409A are determined as follows:
  • decaygain, 10 , where i is the reverb tank index (i.e., element 406A applies decaygaini, element 407A applies decaygain 2 , and so on), i is the delay of the ith reverb tank (e.g., nl is the delay applied by delay line 410), Fs is the sampling rate, T is the desired reverb decay time (T 6 o) at a predetermined low frequency.
  • Fig. 11 is a block diagram of an embodiment of the following elements of Fig. 9: elements 422 and 423, and IACC (interaural cross-correlation coefficient) filtering and mixing stage 424.
  • Element 422 is coupled and configured to sum the outputs of filters 417 and 419 (of Fig. 9) and to assert the summed signal to the input of low shelf filter 500
  • element 422 is coupled and configured to sum the outputs of filters 418 and 420 (of Fig. 9) and to assert the summed signal to the input of high pass filter 501.
  • each of low shelf filter 500 and high pass filter 501 is typically implemented as a first order IIR filter.
  • FIG. 11A is a graph of the frequency response (Rl) of a typical implementation of filter 500 of Fig. 11, the frequency response (R2) of a typical implementation of filter 501 of Fig. 11, and the response of filters 500 and 501 connected in parallel. It is apparent from FIG. 11A, that the combined response is desirably flat across the range 100Hz-10,000Hz.
  • the invention is a system (e.g., that of Fig. 10) and method for generating a binaural signal (e.g., the output of element 210 of Fig. 10) in response to a set of channels of a multi-channel audio input signal, including by applying a binaural room impulse response (BRIR) to each channel of the set, thereby generating filtered signals, including by using a single feedback delay network (FDN) to apply a common late reverberation to a downmix of the channels of the set; and combining the filtered signals to generate the binaural signal.
  • the FDN is implemented in the time domain.
  • the time-domain FDN (e.g., FDN 220 of Fig. 10, configured as in Fig. 9) includes:
  • an input filter (e.g., filter 400 of Fig. 9) having an input coupled to receive the downmix, wherein the input filter is configured to generate a first filtered downmix in response to the downmix;
  • an all-pass filter (e.g., all-pass filter 401 of Fig. 9), coupled and configured to a second filtered downmix in response to the first filtered downmix;
  • a reverb application subsystem e.g., all elements of Fig. 9 other than elements 400, 401, and 424, having a first output (e.g., the output of element 422) and a second output
  • the reverb application subsystem comprises a set of reverb tanks, each of the reverb tanks having a different delay, and wherein the reverb application subsystem is coupled and configured to generate a first unmixed binaural channel and a second unmixed binaural channel in response to the second filtered downmix, to assert the first unmixed binaural channel at the first output, and to assert the second unmixed binaural channel at the second output;
  • an interaural cross-correlation coefficient (IACC) filtering and mixing stage (e.g., stage 424 of Fig. 9, which may be implemented as elements 500, 501, 502, and 503 of Fig. 11) coupled to the reverb application subsystem and configured to generate a first mixed binaural channel and a second mixed binaural channel in response to the first unmixed binaural channel and a second unmixed binaural channel.
  • IACC interaural cross-correlation coefficient
  • the input filter may be implemented to generate (preferably as a cascade of two filters configured to generate) the first filtered downmix such that each BRIR has a direct-to- late ratio (DLR) which matches, at least substantially, a target DLR.
  • Each reverb tank may be configured to generate a delayed signal, and may include a reverb filter (e.g., implemented as a shelf filter or a cascade of shelf filters) coupled and configured to apply a gain to a signal propagating in said each of the reverb tanks, to cause the delayed signal to have a gain which matches, at least substantially, a target decayed gain for said delayed signal, in an effort to achieve a target reverb decay time characteristic (e.g., a T 6 o characteristic) of each BRIR.
  • a target reverb decay time characteristic e.g., a T 6 o characteristic
  • the reverb tanks include a first reverb tank (e.g., the reverb tank of Fig. 9 which includes delay line 410) configured to generate a first delayed signal having a shortest delay and a second reverb tank (e.g., the reverb tank of Fig.
  • the first reverb tank is configured to apply a first gain to the first delayed signal
  • the second reverb tank is configured to apply a second gain to the second delayed signal
  • the second gain is different than the first gain
  • the second gain is different than the first gain
  • application of the first gain and the second gain results in attenuation of the first unmixed binaural channel relative to the second unmixed binaural channel.
  • the first mixed binaural channel and the second mixed binaural channel are indicative of a re-centered stereo image.
  • the IACC filtering and mixing stage is configured to generate the first mixed binaural channel and the second mixed binaural channel such that said first mixed binaural channel and said second mixed binaural channel have an IACC characteristic which at least substantially matches a target IACC characteristic.
  • aspects of the invention include methods and systems (e.g., system 20 of Fig. 2, or the system of Fig. 3, or Fig. 10) which perform (or are configured to perform, or support the performance of) binaural virtualization of audio signals (e.g., audio signals whose audio content consists of speaker channels, and/or object-based audio signals).
  • binaural virtualization of audio signals e.g., audio signals whose audio content consists of speaker channels, and/or object-based audio signals.
  • the inventive virtualizer is or includes a general purpose processor coupled to receive or to generate input data indicative of a multi-channel audio input signal, and programmed with software (or firmware) and/or otherwise configured (e.g., in response to control data) to perform any of a variety of operations on the input data, including an embodiment of the inventive method.
  • a general purpose processor would typically be coupled to an input device (e.g., a mouse and/or a keyboard), a memory, and a display device.
  • an input device e.g., a mouse and/or a keyboard
  • a memory e.g., a display device.
  • Fig. 3 system or system 20 of Fig.
  • DAC digital-to-analog converter

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Abstract

La présente invention, selon certains modes de réalisation, concerne des procédés de virtualisation permettant de générer un signal binaural en réponse à des canaux d'un signal audio multicanal, qui appliquent une réponse impulsionnelle binaurale de salle (BRIR) à chaque canal y compris au moyen d'au moins un réseau à retard de rétroaction (FDN) de façon à appliquer une réverbération tardive commune à un mixage réducteur des canaux. Selon certains modes de réalisation, des canaux de signal d'entrée sont traités dans un premier trajet de traitement pour appliquer à chaque canal une réponse directe et une partie de réflexion précoce d'une BRIR d'un seul canal associées au canal, et le mixage réducteur des canaux est traité dans un second trajet de traitement comprenant ledit FDN qui applique la réverbération tardive commune. Habituellement, la réverbération tardive commune reproduit des macro-attributs collectifs des parties de réverbération tardive d'au moins certaines des BRIR d'un seul canal. D'autres aspects de l'invention concernent des dispositifs de virtualisation de casque conçus pour mettre en œuvre un quelconque mode de réalisation du procédé.
PCT/US2014/071100 2014-01-03 2014-12-18 Génération de fréquence audio binaurale en réponse à une fréquence audio multicanal au moyen d'au moins un réseau à retard de rétroaction WO2015102920A1 (fr)

Priority Applications (36)

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CN201480071993.XA CN105874820B (zh) 2014-01-03 2014-12-18 响应于多通道音频通过使用至少一个反馈延迟网络产生双耳音频
BR112016014949-1A BR112016014949B1 (pt) 2014-01-03 2014-12-18 Método e sistema para gerar um sinal de áudio binaural em resposta a áudio de múltiplos canais ao usar pelo menos uma rede de retardo de feedback
KR1020167017781A KR101870058B1 (ko) 2014-01-03 2014-12-18 다채널 오디오에 응답하여 적어도 하나의 피드백 지연 네트워크를 이용한 바이노럴 오디오의 생성
EP23195452.0A EP4270386A3 (fr) 2014-01-03 2014-12-18 Génération de signal audio binaural en réponse à un signal audio multicanal au moyen d'au moins un réseau de rétroaction à retard
KR1020217009258A KR102380092B1 (ko) 2014-01-03 2014-12-18 다채널 오디오에 응답하여 적어도 하나의 피드백 지연 네트워크를 이용한 바이노럴 오디오의 생성
MX2017014383A MX365162B (es) 2014-01-03 2014-12-18 Generacion de audio binaural en respuesta a audio multicanal utilizando al menos una red de retardo realimentada.
MX2016008696A MX352134B (es) 2014-01-03 2014-12-18 Generación de audio binaural en respuesta a audio multicanal utilizando al menos una red de retardo realimentada.
CN202410510303.1A CN118200841A (zh) 2014-01-03 2014-12-18 响应于多通道音频通过使用至少一个反馈延迟网络产生双耳音频
EP18174560.5A EP3402222B1 (fr) 2014-01-03 2014-12-18 Génération de signal audio binaurale en réponse à un signal audio multicanal au moyen d'au moins un réseau à retard de rétroaction
EP20205638.8A EP3806499B1 (fr) 2014-01-03 2014-12-18 Génération de signal audio binaural en réponse à un signal audio multicanal au moyen d'au moins un réseau de rétroaction à retard
KR1020187016855A KR102124939B1 (ko) 2014-01-03 2014-12-18 다채널 오디오에 응답하여 적어도 하나의 피드백 지연 네트워크를 이용한 바이노럴 오디오의 생성
MX2019006022A MX2019006022A (es) 2014-01-03 2014-12-18 Generación de audio binaural en respuesta a audio multicanal utilizando al menos una red de retardo realimentada.
BR122020013603-0A BR122020013603B1 (pt) 2014-01-03 2014-12-18 Método e sistema para gerar um sinal binaural em resposta a um conjunto de canais de um sinal de entrada de áudio multicanal
KR1020227035287A KR20220141925A (ko) 2014-01-03 2014-12-18 다채널 오디오에 응답하여 적어도 하나의 피드백 지연 네트워크를 이용한 바이노럴 오디오의 생성
CA2935339A CA2935339C (fr) 2014-01-03 2014-12-18 Generation de frequence audio binaurale en reponse a une frequence audio multicanal au moyen d'au moins un reseau a retard de retroaction
RU2016126479A RU2637990C1 (ru) 2014-01-03 2014-12-18 Генерирование бинаурального звукового сигнала в ответ на многоканальный звуковой сигнал с использованием по меньшей мере одной схемы задержки с обратной связью
KR1020227009882A KR102454964B1 (ko) 2014-01-03 2014-12-18 다채널 오디오에 응답하여 적어도 하나의 피드백 지연 네트워크를 이용한 바이노럴 오디오의 생성
EP14824318.1A EP3090573B1 (fr) 2014-04-29 2014-12-18 Génération de fréquence audio binaurale en réponse à une fréquence audio multicanal au moyen d'au moins un réseau à retard de rétroaction
AU2014374182A AU2014374182B2 (en) 2014-01-03 2014-12-18 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
ES14824318T ES2709248T3 (es) 2014-01-03 2014-12-18 Generación de audio binaural en respuesta a un audio multicanal que usa al menos una red de retardo de retroalimentación
CN202210057409.1A CN114401481B (zh) 2014-01-03 2014-12-18 响应于多通道音频通过使用至少一个反馈延迟网络产生双耳音频
BR122020013590-5A BR122020013590B1 (pt) 2014-01-03 2014-12-18 Método para a geração de um sinal binaural em resposta a um conjunto de canais de um sinal de entrada de áudio de múltiplos canais e sistema configurado para gerar um sinal binaural em resposta a um conjunto de canais de um sinal de entrada de áudio de múltiplos canais
US15/109,541 US10425763B2 (en) 2014-01-03 2014-12-18 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
CN202410510302.7A CN118433628A (zh) 2014-01-03 2014-12-18 响应于多通道音频通过使用至少一个反馈延迟网络产生双耳音频
KR1020207017130A KR102235413B1 (ko) 2014-01-03 2014-12-18 다채널 오디오에 응답하여 적어도 하나의 피드백 지연 네트워크를 이용한 바이노럴 오디오의 생성
JP2016543161A JP6215478B2 (ja) 2014-01-03 2014-12-18 少なくとも一つのフィードバック遅延ネットワークを使ったマルチチャネル・オーディオに応答したバイノーラル・オーディオの生成
AU2018203746A AU2018203746B2 (en) 2014-01-03 2018-05-29 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
US16/541,079 US10555109B2 (en) 2014-01-03 2019-08-14 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
US16/777,599 US10771914B2 (en) 2014-01-03 2020-01-30 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
AU2020203222A AU2020203222B2 (en) 2014-01-03 2020-05-18 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
US17/012,076 US11212638B2 (en) 2014-01-03 2020-09-04 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
US17/560,301 US11582574B2 (en) 2014-01-03 2021-12-23 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
AU2022202513A AU2022202513B2 (en) 2014-01-03 2022-04-14 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
US18/108,663 US12089033B2 (en) 2014-01-03 2023-02-13 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
AU2023203442A AU2023203442B2 (en) 2014-01-03 2023-06-01 Generating binaural audio in response to multi-channel audio using at least one feedback delay network
AU2024219367A AU2024219367A1 (en) 2014-01-03 2024-09-04 Generating binaural audio in response to multi-channel audio using at least one feedback delay network

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US201461923579P 2014-01-03 2014-01-03
US61/923,579 2014-01-03
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CN114025301B (zh) * 2016-10-28 2024-07-30 松下电器（美国）知识产权公司 用于回放多个音频源的双声道渲染装置和方法
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CN111107482A (zh) * 2018-10-25 2020-05-05 创新科技有限公司 修改房间特性以通过耳机进行空间音频呈现的系统和方法
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