WO2019079948A1 - Écouteur et procédé pour réaliser un auto-accord adaptatif pour un écouteur - Google Patents

Écouteur et procédé pour réaliser un auto-accord adaptatif pour un écouteur

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Publication number
WO2019079948A1
WO2019079948A1 PCT/CN2017/107362 CN2017107362W WO2019079948A1 WO 2019079948 A1 WO2019079948 A1 WO 2019079948A1 CN 2017107362 W CN2017107362 W CN 2017107362W WO 2019079948 A1 WO2019079948 A1 WO 2019079948A1
Authority
WO
WIPO (PCT)
Prior art keywords
audio signal
filter
signal
earphone
signal component
Prior art date
Application number
PCT/CN2017/107362
Other languages
English (en)
Inventor
SuneLonbaek OLSEN
Andras Palfi
David Meijer
Torben JUULREJKJAER
Morten BIRKMOSESONDERGAARD
Sebastien CURDY
Original Assignee
Goertek Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Goertek Inc. filed Critical Goertek Inc.
Priority to PCT/CN2017/107362 priority Critical patent/WO2019079948A1/fr
Priority to CN201711173656.3A priority patent/CN107948785B/zh
Priority to CN201721577341.0U priority patent/CN207652638U/zh
Publication of WO2019079948A1 publication Critical patent/WO2019079948A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00—Circuits for transducers, loudspeakers or microphones
    • H04R3/04—Circuits for transducers, loudspeakers or microphones for correcting frequency response
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1091—Details not provided for in groups H04R1/1008 - H04R1/1083
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
    • H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups

Definitions

  • the present invention relates to the technical field of earphone, and more specifically, to an earphone and a method for performing an adaptively self-tuning for an earphone.
  • the amount of bass perceived by the user depends on how much the earphone mechanically seals the user’s ear. The more the earphone seals the ear canal, the larger amount of bass will be perceived. If there are leaks between the ear canal and the earphone, the perceived bass will decrease. Since it is impossible to provide a consistent bass response across all users with one mechanical design, how to address this perception discrepancy presents a challenge for an earphone developer.
  • the earphone may include a headset, an in-ear headphone such as an earbud, and so on.
  • test signal is used to calibrate the response of an earphone in advance. This will not work or will be not convenient if a user adjusts his wearing of an earphone during playing a music song, for example.
  • a prior art real-time calibration solution uses a predicted output of a speaker, which may not be accurate and may be complicated.
  • a frequency domain adaptive algorithm shall be used, which adds complexity to the design of an earphone.
  • One object of this invention is to provide a new technical solution for adaptive pre-processing for an earphone.
  • an earphone comprising: a pre-processing filter, which receives a first audio signal and performs a pre-processing on the first audio signal to output a second audio signal; a speaker, which receives the second audio signal and plays it as an acoustic wave into a user’s ear; a microphone, which receives the acoustic wave and converts it into a third audio signal; and an adaptive algorithm unit, which receives a first signal component and a second signal component, and performs an adaptive algorithm on the first signal component and the second signal component to update filter coefficients for the pre-processing filter, wherein the first signal component includes at least one portion of the third audio signal and the second signal component includes at least one portion of the second audio signal which corresponds to said at least one portion of the third audio signal.
  • the pre-processing filter is a pre-equalization filter and performs pre-equalization on the first audio signal.
  • the first audio signal is a content audio signal from an audio source.
  • the earphone further comprises: a first filter, wherein the third audio signal is coupled to the input of the first filter and the first filter produces the first signal component; and a second filter, wherein the second audio signal is coupled to the input of the second filter and the second filter produces the second signal component.
  • the earphone further comprises: a target filter, wherein the second audio signal is coupled to the input of the second filter via the target filter, and the target filter performs a filtering processing on the second audio signal based on a desired target frequency response and outputs a filtered second audio signal to the second filter.
  • a target filter wherein the second audio signal is coupled to the input of the second filter via the target filter, and the target filter performs a filtering processing on the second audio signal based on a desired target frequency response and outputs a filtered second audio signal to the second filter.
  • the first and second filters have identical frequency responses.
  • the first and second filters are low-pass filters.
  • the earphone further comprises: a correlation unit, which calculates a correlation between the first signal component and the second signal component, and produces a stop command by determining that the correlation is below a preset threshold; wherein the stop command is sent to the adaptive algorithm unit to stop the performing of adaptive algorithm.
  • a correlation unit which calculates a correlation between the first signal component and the second signal component, and produces a stop command by determining that the correlation is below a preset threshold; wherein the stop command is sent to the adaptive algorithm unit to stop the performing of adaptive algorithm.
  • the adaptive algorithm performed by the adaptive algorithm unit is a time-domain adaptive algorithm.
  • the microphone is mounted on the earphone between the speaker and the eardrum of the user’s ear when the earphone is worn by the user.
  • a method for performing an adaptively self-tuning for an earphone comprises: receiving a first audio signal to be processed; performing a pre-processing on the first audio signal to output a second audio signal; playing the second audio signal as an acoustic wave into a user’s ear; collecting the acoustic wave in the user’s ear and converting the collected signal into a third audio signal; obtaining a first signal component from at least one portion of the third audio signal, and obtaining the second signal component from at least one portion of the second audio signal which corresponds to said at least one portion of the third audio signal; and performing an adaptive algorithm on the first signal component and the second signal component to update filter coefficients for the pre-processing so as to perform the pre-processing on the first audio signal using the updated filter coefficients.
  • the pre-processing is pre-equalization.
  • the method further comprises: receiving a content audio signal from an audio source as the first audio signal.
  • the method further comprises: filtering the third audio signal to obtain the first signal component and filtering the second audio signal to obtain the second signal component, wherein the two filters have identical frequency responses.
  • the two filters with identical frequency responses are low-pass filters.
  • the method further comprises: selecting a desired target frequency response; and before filtering the second audio signal to obtain the second signal component, the method further comprising: performing filtering on the second audio signal based on the desired target frequency response.
  • the method further comprises: calculating a correlation between the first signal component and the second signal component; producing a stop command by determining that the correlation is below a preset threshold; and sending the stop command to stop the performing of adaptive algorithm.
  • the adaptive algorithm is a time-domain adaptive algorithm.
  • Fig. 1 is a schematic block diagram of an earphone according to an embodiment of this disclosure.
  • Fig. 2 is a schematic block diagram of an earphone according to another embodiment of this disclosure.
  • Fig. 3 is a schematic block diagram of an earphone according to still another embodiment of this disclosure.
  • Fig. 4 is a schematic flow chart of a method for performing an adaptively self-tuning for an earphone according to another embodiment of this disclosure.
  • Fig. 1 is a schematic block diagram of an earphone according to an embodiment of this disclosure.
  • the earphone comprises: a pre-processing filter 2, a speaker 3, a microphone 4 and an adaptive algorithm unit 6.
  • the pre-processing filter 2 receives a first audio signal and performs a pre-processing on the first audio signal to output a second audio signal.
  • the pre-processing filter 2 is a pre-equalization filter and performs pre-equalization on the first audio signal.
  • the first audio signal is produced in the audio source 1.
  • the first audio signal is a content audio signal from the audio source 1.
  • the audio source 1 may be an input unit of the earphone.
  • audio data such like musical data is stored locally in the earphone.
  • the audio source 1 may be a player including memory, codec and so on.
  • the speaker 3 receives the second audio signal and plays the second audio signal as an acoustic wave into a user’s ear.
  • the speaker 3 may include a dynamic speaker, an electrostatic speaker and so on.
  • it can include a MEMS speaker.
  • the microphone 4 receives the acoustic wave and converts the acoustic wave into a third audio signal.
  • the microphone 4 may include a dynamic microphone, a condenser microphone and so on.
  • it can include a MEMS microphone.
  • the microphone 4 is mounted between the eardrum of a user and the speaker. The microphone 4 can capture the acoustic wave played inside the ear.
  • the adaptive algorithm unit 6 receives a first signal component and a second signal component, performs an adaptive algorithm on the first signal component and the second signal component to produce filter coefficients for the pre-processing filter 2, and sends the filter coefficients to the pre-processing filter 2.
  • the first signal component includes at least one portion of the third audio signal.
  • the second signal component includes at least one portion of the second audio signal which corresponds to the at least one portion of the third audio signal.
  • the first and second signal component may have the same frequency range. It will be appreciated by a person skilled in the art that the term “corresponding” mean the portions correspond with each other in a certain aspect (such as frequency range) but the contents thereof may be different.
  • the first signal component may include just one portion of the third audio signal or the whole third audio signal.
  • the second signal component may include just one portion of the second audio signal or the whole second audio signal.
  • the inputs of the adaptive algorithm unit 6 can be coupled to the second and third audio signals. It would be understood by a person skilled in the art that “couple” includes a direct connection or an indirect connection, i.e. when A is coupled to B, A is connected to B directly or indirectly.
  • the adaptive algorithm performed by the adaptive algorithm unit 6 is a time-domain adaptive algorithm.
  • the time-domain adaption is sufficient and is much simpler than a frequency-domain adaption.
  • a new solution of pre-processing is proposed, which can use the output of a pre-processing filter and the played acoustic wave to calculate the coefficients for the pre-processing filter. It can adaptively tune the response of the earphone constantly during a content audio signal such as a music song is being played. Furthermore, compared with the prior art, instead of using a predicted output of a speaker, the actual output of the pre-processing filter is used in this solution, which is much simpler in structure and is more efficient.
  • the adaptive algorithm unit 6 can receive the second and third audio signals directly, for example, as shown in Fig. 1. Alternatively, it can be coupled to the second and third audio signals via intermediate components.
  • Fig. 2 is a schematic block diagram of an earphone according to another embodiment of this disclosure.
  • the components with identical reference signs can be the same as those in Fig. 1 and thus the explanation thereof will be omitted.
  • the earphone further comprises a first filter 5 and a second filter 8.
  • the third audio signal is coupled to the input of the first filter 5 and the first filter 5 produces the first signal component.
  • the first signal component is sent to the adaptive algorithm unit 6.
  • the second audio signal is coupled to the input of the second filter 8 and the second filter 8 produces the second signal component.
  • the second signal component is sent to the adaptive algorithm unit 6.
  • the first and second filters 5, 8 have identical frequency responses.
  • the bass band performance is what is of concern as explained. So, the first and second filters are low-pass filters to obtain the first and second signal component.
  • the earphone further comprises a target filter 7.
  • the second audio signal is coupled to the input of the second filter 8 via the target filter 7.
  • the target filter 7 performs a filtering processing on the second audio signal based on a desired target frequency response and outputs a filtered second audio signal to the second filter 8.
  • a desired ideal response can be selected and/or controlled by a designer.
  • the ideal response is chosen by the designer and can be defined either objectively, based on literature studies, or subjectively, e.g. with the help of a Golden Ears.
  • a user of the earphone can choose an ideal response during playing a content.
  • a control unit (not shown) for the target filter 7 can be provided and a user can adjust the target filter 7 through the control unit during playing a content audio signal such as a music song.
  • the pre-processing solution in this disclosure has the ability to adaptively self-tune the response such as a bass response to an ideal response. It will provide any user with similar target sound quality regardless of his ear shape and size.
  • the self-tuning is adapted constantly to a target curve based on the content such as a music song being played through the earphone. Even if the earphone seal changes over time, such as when a user wearing the earphone is running, the adaptation can be achieved without user interaction. This ensures that the sound quality is consistent across user’s movements regardless of the mechanical seal.
  • filters 5, 7, 8 are separated modules relative to the adaptive algorithm unit 6. It is also understood that in other embodiments at least part of the functions of filters 5, 7, 8 can be incorporated with the adaptive algorithm unit 6.
  • Fig. 3 is a schematic block diagram of an earphone according to another embodiment of this disclosure.
  • the earphone further comprises correlation unit 10.
  • the correlation unit 10 calculates a correlation between the first signal component and the second signal component, and produces a stop command by determining that the correlation is below a preset threshold.
  • the stop command is further sent to the adaptive algorithm unit 6 to stop the performing of adaptive algorithm.
  • the adaptive algorithm for the pre-processing is controlled by determining the correlation.
  • the correlation unit is used to stop the adaptation whenever it is determined that the signal captured by the microphone is contaminated by other sounds than the music played into the ear and reflected by the ear, which can be white noise and/or any other noise in the surroundings, such as other person’s talking nearby, or talking of the user of the earbud, coughing and so on. If the stop command from the correlation unit was not used, this would in most cases result in sudden losses of bass content, whenever the user starts talking and/or coughing, or if external noise is present. With the correlation unit, the speaker’s response stays consistent in these noisy periods.
  • a software is equivalent to a hardware except for some of the mechanical components such a speaker, a microphone and so on.
  • the modules except for the speaker 3 and the microphone 4 shown in Figs. 1 and 2 can be carried out through a hardware manner, a software manner and/or a combination thereof.
  • at least one of the modules 1, 2, 5, 6, 7, 8, 9 and 10 can be carried out through discrete devices, a programmable device such PLD, DSP, FPGA.
  • At least one of the modules 1, 2, 5, 6, 7, 8, 9 and 10 can be implemented in a combination of a computing device such as a CPU or a MPU and a memory, wherein instructions are stored in the memory and are used to control the computing device to performing corresponding operations during the running of the earphone.
  • a computing device such as a CPU or a MPU and a memory
  • instructions are stored in the memory and are used to control the computing device to performing corresponding operations during the running of the earphone.
  • this disclosure will not limit the implementation manners of the modules.
  • a person skilled in the art can choose the implementation manners under the teaching of this disclosure in consideration of the cost, the market availability and so on.
  • Fig. 4 is a schematic flow chart of a method for performing an adaptively self-tuning for an earphone according to another embodiment of this disclosure.
  • the earphone may comprise a pre-processing filter, a speaker, a microphone and an adaptive algorithm unit as shown in Fig. 1, 2 or 3.
  • Step S1100 a first audio signal to be processed is received.
  • Step S1200 a pre-processing on the first audio signal is performed to output a second audio signal.
  • the pre-processing is pre-equalization.
  • the second audio signal is played as an acoustic wave into a user’s ear.
  • it is played by the microphone 4 mounted on the earphone between the eardrum of the user and the speaker when the earphone is worn by the user.
  • Step S1400 the acoustic wave in the user’s ear is collected and the collected signal is converted into a third audio signal.
  • Step S1500 a first signal component is obtained from at least one portion of the third audio signal, and a second signal component is obtained from at least one portion of the second audio signal which corresponds to said at least one portion of the third audio signal.
  • an adaptive algorithm is performed on the first signal component and the second signal component to update filter coefficients for the pre-processing so as to perform the pre-processing on the first audio signal using the updated filter coefficients.
  • the adaptive algorithm is a time-domain adaptive algorithm.
  • the first audio signal is a content audio signal received from an audio source.
  • the method may further comprise: filtering the third audio signal to obtain the first signal component and filtering the second audio signal to obtain the second signal component, where both filters have an identical frequency response.
  • this embodiment allows a user of the earphone to choose an ideal response during playing a content.
  • the method may further comprises: selecting a desired target frequency response; and before filtering the second audio signal to obtain the second signal component, the method further comprises: performing a filtering processing on the second audio signal based on a desired target frequency response.
  • the identical frequency response may be a low-pass frequency response.
  • the method may further comprises: calculating a correlation between the first signal component and the second signal component; producing a stop command by determining whether the correlation is below a preset threshold; and sending the stop command to stop the performing of adaptive algorithm.
  • the earphone can be that shown in Fig. 1, 2 or 3.
  • the earphone is an earbud.
  • the pre-processing filter will pre-equalizes the low-frequency component of a musical signal before it is played into a user’s ear.
  • the pre-processing filter can be initialized to be a pass-through filter, leaving the musical signal unaltered.
  • the acoustic wave in the user’s ear canal is captured by a microphone as a response signal.
  • the microphone is built into the front cavity of the earphone.
  • An adaptive algorithm can be used to continuously update the coefficients of the pre-processing filter based on the deviation between this response signal and a previously determined target signal.
  • the target signal can be acquired by passing the music signal through a target filter, which may have an ideal response defined by a designer.
  • the musical signal is sent into the pre-processing filter.
  • the pre-processing filter filters the musical signal based on the current filter coefficients. Initially, the pre-processing filter is set to be a pass-through filter, leaving the musical signal unaltered.
  • the output of the pre-processing filter is sent to the speaker, and then is played into a user’s ear.
  • the acoustic wave in the user’s ear canal is captured as a response signal by the microphone mounted in the front cavity of the earphone.
  • the response signal is filtered through a first filter as a first signal component, which includes only the frequency range to be adapted to.
  • the first filter can be either a band-pass filter or a low-pass filter based on the frequency range of interest.
  • the output of the pre-processing filter is also passed through a target filter which is based on a desired target frequency response.
  • the target filter outputs a target signal.
  • the target signal is filtered through a second filter.
  • the second filter and the first filter have identical frequency responses.
  • the adaptive algorithm unit updates the filter coefficients for the pre-processing filter and sends them back to the pre-processing filter.
  • the above process can be repeated during the playing of the musical signal.

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Headphones And Earphones (AREA)

Abstract

L'invention concerne un écouteur et un procédé pour réaliser un auto-accord adaptatif pour un écouteur. L'écouteur comprend : un filtre de prétraitement, effectuant un prétraitement sur le premier signal audio pour émettre un second signal audio; un haut-parleur, jouant le second signal audio sous la forme d'une onde acoustique dans l'oreille d'un utilisateur; un microphone, convertissant l'onde acoustique en un troisième signal audio; et une unité d'algorithme adaptative, réalisant un algorithme adaptatif sur une première composante de signal et une seconde composante de signal pour mettre à jour des coefficients de filtre pour le filtre de prétraitement, la première composante de signal comprenant au moins une partie du troisième signal audio et la deuxième composante de signal comprenant au moins une partie du deuxième signal audio qui correspond à ladite ou lesdites partie(s) du troisième signal audio.
PCT/CN2017/107362 2017-10-23 2017-10-23 Écouteur et procédé pour réaliser un auto-accord adaptatif pour un écouteur WO2019079948A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PCT/CN2017/107362 WO2019079948A1 (fr) 2017-10-23 2017-10-23 Écouteur et procédé pour réaliser un auto-accord adaptatif pour un écouteur
CN201711173656.3A CN107948785B (zh) 2017-10-23 2017-11-22 耳机和对耳机执行自适应调整的方法
CN201721577341.0U CN207652638U (zh) 2017-10-23 2017-11-22 耳机

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/107362 WO2019079948A1 (fr) 2017-10-23 2017-10-23 Écouteur et procédé pour réaliser un auto-accord adaptatif pour un écouteur

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CN109889939A (zh) * 2019-01-22 2019-06-14 深圳市九音科技有限公司 耳机和回声消除方法
CN109525913A (zh) * 2019-01-28 2019-03-26 维沃移动通信有限公司 一种耳机结构及终端
CN110996210B (zh) * 2019-12-13 2021-11-23 恒玄科技(上海)股份有限公司 一种用于声场均衡的方法和一种耳机
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