CN112289327A - LC3 audio encoder post residual optimization method, device and medium - Google Patents
LC3 audio encoder post residual optimization method, device and medium Download PDFInfo
- Publication number
- CN112289327A CN112289327A CN202011178540.0A CN202011178540A CN112289327A CN 112289327 A CN112289327 A CN 112289327A CN 202011178540 A CN202011178540 A CN 202011178540A CN 112289327 A CN112289327 A CN 112289327A
- Authority
- CN
- China
- Prior art keywords
- residual
- coding
- spectral
- quantization
- audio encoder
- Prior art date
- Legal status (The legal status 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 status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 67
- 238000005457 optimization Methods 0.000 title claims description 36
- 230000003595 spectral effect Effects 0.000 claims abstract description 73
- 238000013139 quantization Methods 0.000 claims abstract description 56
- 230000005236 sound signal Effects 0.000 claims abstract description 8
- 238000001228 spectrum Methods 0.000 claims description 34
- 238000002360 preparation method Methods 0.000 description 6
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
Images
Classifications
-
- 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
- G10L19/02—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 using spectral analysis, e.g. transform vocoders or subband vocoders
- G10L19/032—Quantisation or dequantisation of spectral components
-
- 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
- G10L19/005—Correction of errors induced by the transmission channel, if related to the coding algorithm
-
- 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
- G10L19/04—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 using predictive techniques
- G10L19/08—Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
- G10L19/12—Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters the excitation function being a code excitation, e.g. in code excited linear prediction [CELP] vocoders
- G10L19/13—Residual excited linear prediction [RELP]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
The invention discloses a method and a device for optimizing a post residual error of an LC3 audio encoder and a storage medium, belonging to the field of Bluetooth audio encoding and decoding. The method comprises the following steps: the method comprises the steps of pre-storing an original value fixed-point operation result of a quantized spectral coefficient without quantization compensation in the process of carrying out spectral quantization on an audio signal by an LC3 audio encoder, directly carrying out noise level estimation, sideband information coding and spectral arithmetic coding after carrying out spectral quantization, calculating to obtain a residual error coding actual space in an LC3 coding frame structure after carrying out spectral arithmetic coding, and carrying out residual error coding by using the original value fixed-point operation result of the quantized spectral coefficient without quantization compensation according to the residual error coding actual space. The application of the invention cancels the part for preparing residual data in advance, saves the memory consumption of the storage space of the temporary variable register caused by the maximum sample number of the unpredictable residual, and directly codes the residual data according to the accurate residual coding actual space.
Description
Technical Field
The present application relates to the field of bluetooth audio coding and decoding, and in particular, to a method, an apparatus, and a medium for post residual optimization for an LC3 audio encoder.
Background
The current mainstream Bluetooth audio encoder has short boards with common tone quality, limited battery capacity, poorer processor computing capability, limited memory, closed technology and the like, and the LC3 audio encoder has the advantages of lower delay, higher tone quality, higher encoding gain and no special fee in the Bluetooth field. In the LC3 encoder, residual data is encoded throughout the data encoding process, and in the prior art, a residual space is predicted according to non-zero spectral data after spectral quantization before residual encoding, a residual maximum sample number is prepared, and the prepared residual maximum sample number is stored in a temporary variable register.
However, in this method, the predicted residual space is a residual data space that has not been subjected to arithmetic coding and side band coding, and therefore the size of the residual space is not necessarily accurate. And the predicted maximum number of samples of residual may result in memory consumption of temporary variable register storage space, about 1 × 400 bytes, resulting in excessive preparation residual, and processor resource consumption due to storage residual, mainly resulting in the consumption of store instructions.
Disclosure of Invention
The LC3 audio encoder post residual optimization method solves the problems of uncertain residual space predicted according to non-zero spectrum data after spectrum quantization, and memory consumption of temporary variable register storage space and processor resource consumption caused by excessive residual preparation due to the maximum number of residual samples prepared according to the uncertain residual space.
In order to solve the above problems, the present invention adopts a technical solution that: provided is an LC3 audio encoder post residual optimization method. It includes: in the process of performing spectrum quantization on an audio signal by an LC3 audio encoder, the result of the original value fixed-point operation of quantized spectral coefficients without quantization compensation is stored by using a time-sharing memory block mode. After the spectrum quantization is carried out, noise level estimation, sideband information coding and spectrum arithmetic coding are directly carried out, and after the spectrum arithmetic coding, the residual space after the spectrum arithmetic coding in the LC3 coding frame structure is obtained through calculation, and the residual coding actual space is obtained. And according to the actual space of residual coding, according to the non-zero spectrum data, sequentially performing residual coding from low frequency to high frequency in a reverse order by using the original value fixed-point operation result of quantized spectrum coefficients without quantization compensation.
The invention adopts another technical scheme that: there is provided an LC3 audio encoder post residual optimization device, comprising: a module for pre-storing the result of the original value fixed-point operation that the quantized spectral coefficients are not quantized and compensated in the process of the LC3 audio encoder performing the spectral quantization on the audio signal; means for performing noise level estimation, side information encoding, and spectral arithmetic encoding directly after performing spectral quantization; a module for calculating a residual coding actual space in the LC3 coding frame structure after the spectrum arithmetic coding; and a module for performing residual coding by using the original fixed-point operation result of the quantized spectral coefficient without quantization compensation according to the actual space of the residual coding.
In another aspect of the present application, a computer-readable storage medium is provided that stores computer instructions, wherein the computer instructions are operable to perform the LC3 audio encoder post residual optimization method in an aspect.
In another aspect of the present application, a computer device is provided, which includes a processor and a memory, where the memory stores computer instructions, where the processor operates the computer instructions to perform the LC3 audio encoder post residual optimization method in aspect one.
The beneficial effect that this application technical scheme can reach is: the residual data are directly coded according to the accurate residual coding actual space, the pre-prepared residual data are cancelled, the memory consumption of the storage space of the temporary variable register caused by the maximum sample number of the predicted residual is saved, the excessive residual preparation is saved, the operation amount is reduced, the processor resource consumption caused by the residual is stored, and the consumption is mainly the consumption of storage instructions.
Drawings
FIG. 1 is a flowchart illustrating an embodiment of a residual encoding method for an LC3 audio encoder according to the present invention;
FIG. 2 is a flowchart illustrating an exemplary embodiment of a method for post residual optimization of an LC3 audio encoder according to the present invention;
fig. 3 is a schematic composition diagram of another embodiment of the LC3 audio encoder post residual optimization apparatus according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart illustrating an embodiment of a method for encoding a residual error of an LC3 audio encoder according to the present invention.
In the prior art, residual data is subjected to first quantization gain estimation, first spectral quantization, optional second quantization gain adjustment, optional second spectral quantization, residual coding preparation, noise level estimation, side information coding, spectral arithmetic coding, and residual coding. And residual data are required to be prepared in advance for the final residual coding, a final residual coding space is predicted through all non-zero frequency spectrum data, a residual maximum sample number is prepared according to the residual coding space, and the residual maximum sample number is temporarily recorded into a temporary variable register from low frequency to high frequency. When the residual data prepared in advance has enough non-zero spectral quantization data, because actual arithmetic coding and sideband data coding are not performed, the size of the residual space can only be roughly estimated, and therefore the residual space is slightly larger than the actual residual coding space, and the residual data can be properly written, but the method has the disadvantages that more residual data needs to be prepared in advance, about 2 to 4 bits are more in each frame and written into a temporary variable register, in order to write the register array of the temporary variable register quickly, the LC3 audio encoder cannot write a single-bit number, but a residual 1-bit-number sample is written into a single byte or double bytes, so that the size of the array which is distributed in advance by the register array of the temporary variable register cannot be determined, and the theoretical value is up to NE, namely the number of all spectral lines. After the frequency spectrum arithmetic coding, the residual error maximum sample number pre-recorded in a temporary variable register is written into a residual error coding actual space in a low-frequency to high-frequency sequence in a reverse order for residual error coding.
Aiming at the problems in the prior art, the application provides the LC3 audio encoder post residual optimization method, which cancels the pre-prepared residual data part, saves the memory consumption of the storage space of a temporary variable register caused by the maximum sample number of unpredictable residuals, and directly encodes the residual data according to the accurate residual encoding actual space.
Fig. 2 is a schematic diagram illustrating an embodiment of a method for post residual optimization of an LC3 audio encoder according to the present invention.
In this embodiment, the LC3 audio encoder post residual optimization method includes: the process S101: the method is characterized in that in the process of performing spectrum quantization on an audio signal by an LC3 audio encoder, the result of original value fixed-point operation of quantized spectrum coefficients without quantization compensation is stored in advance, and the method comprises the following steps: the LC3 audio encoder multiple modules use time sharing memory block mode to store the original value fixed point operation result of quantized spectral coefficient without quantization compensation. The process S102: after the spectral quantization, noise level estimation, side information encoding, and spectral arithmetic encoding are directly performed. The process S103: after the spectral arithmetic coding, the residual coding real space in the LC3 coding frame structure is calculated, including: and calculating the residual space after the spectral arithmetic coding in the LC3 coding frame structure to obtain the residual coding actual space. The process S104: according to the actual space of residual coding, the residual coding is carried out by utilizing the original value fixed-point operation result of quantized spectral coefficients without quantization compensation, and the method comprises the following steps: and according to the non-zero frequency spectrum data, sequentially performing residual error coding from low frequency to high frequency in a reverse order by utilizing the original value fixed-point operation result of the quantized frequency spectrum coefficient without quantization compensation.
In the specific embodiment shown in fig. 2, the LC3 audio encoder post-residual optimization method of the present application includes a process S101, in which, in a process of performing spectrum quantization on an audio signal by an LC3 audio encoder, a result of an original-value fix-point operation in which quantized spectral coefficients are not subjected to quantization compensation is stored by using a time-sharing memory block method.
In this embodiment, in the LC3 audio encoder post residual optimization method of the present application, the storing of the result of the original-valued fixed-point operation in which the quantized spectral coefficients are not subjected to quantization compensation includes: for spectral data sample Xf(n) and the quantized global gain parameter gg are operated to obtain a quantized spectral coefficient original value X _ qf _ residual [ n [ ]]The intermediate output data of the spectrum quantization module of (1) is an original value of the quantized spectrum coefficient without quantization compensation. Wherein,
. In the encoder, for the uniformity of storage and expression between the encoding and decoding data, the original value X _ qf _ residual [ n ] of the quantized spectral coefficient is used]To carry outAnd performing fixed-point operation to obtain an array of the original values X _ qf _ residual of the quantized spectral coefficients, and storing the fixed-point operation result.
The storage of the original value fixed-point operation result of the quantized spectral coefficient without quantization compensation is generated in the process of spectral quantization, and is stored by the way without extra calculation, and the original value fixed-point operation result of the quantized spectral coefficient without quantization compensation is also used by the noise estimation module, so that no extra storage and operation cost is brought.
In an embodiment of the present application, a memory block sharing manner is used to store the original value of the quantized spectral coefficient of the fixed-point operation, so as to reduce the memory required to be added. Because the original quantized spectral coefficient values are additionally output in the process of spectral quantization and fixed-point operation is performed, a proper storage space is required for storing the original quantized spectral coefficient values subjected to fixed-point operation. In the encoder, the same storage unit may be shared with other codec modules in a time-sharing manner, for example, when the other codec modules are operated, the storage unit stores data of the other codec modules, and when the spectrum quantization module, the residual coding module and the noise level estimation module are operated, the storage unit stores original quantized spectrum coefficients of the fixed-point operation, so that the optimization of the operation amount is realized without additionally increasing a memory. For example, in an LC3 encoder, when the sampling rate is 48KHZ, the 10ms frame length, NEWhen the value of (1) is 400, the memory of 1600 bytes, which is increased by the extra storage of the original value X _ qf _ residual of the quantized spectral coefficient after the fixed-point operation, can be saved, and the memory consumption in the encoder can be saved.
In the specific embodiment shown in fig. 2, the LC3 audio encoder post residual optimization method of the present application includes a process S102: after the spectral quantization, noise level estimation, side information encoding, and spectral arithmetic encoding are directly performed.
In this embodiment, in the LC3 audio encoder post residual optimization method of the present application, residual data is encoded through first quantization gain estimation, first spectral quantization, optional second quantization gain adjustment, optional second spectral quantization, noise level estimation, side information encoding, spectral arithmetic encoding, and residual encoding. The residual error coding preparation part is cancelled, and the residual error is post-positioned after the frequency spectrum arithmetic coding, so that the residual error data is accurately and properly written into the residual error coding space for residual error coding, the memory consumption of the storage space of a temporary variable register is reduced, and the consumption of processor resources caused by excessive residual error preparation and residual error storage is avoided.
In the specific embodiment shown in fig. 2, the LC3 audio encoder post residual optimization method of the present application includes a process S103: after the spectral arithmetic coding, the residual space after the spectral arithmetic coding in the LC3 coding frame structure is calculated, resulting in the residual coding real space.
In this embodiment, in the LC3 audio encoder post residual optimization method of the present application, the LC3 audio encoder encoding frame bit number is determined by the bandwidth allocated by the bluetooth channel and the subsequent code rate adjustment. The intra-coding space includes: side information, arithmetic coding space, sign bit and lowest bit of frequency spectrum data and residual coding space. The F _ NF 3 bits generated by the noise estimation module need to be filled in the sideband coding space, and the arithmetic coding of the frequency spectrum data depends on the coding writing position generated by the end of the sideband coding, so that the actual residual coding space can be calculated after the frequency spectrum arithmetic coding, and the residual data can be written accurately and properly.
In the specific embodiment shown in fig. 2, the LC3 audio encoder post residual optimization method of the present application includes a process S104: and according to the actual space of residual coding and the non-zero frequency spectrum data, sequentially performing residual coding from low frequency to high frequency in a reverse order by utilizing the original value fixed-point operation result of quantized frequency spectrum coefficients without quantization compensation.
In this embodiment, the stored original value fixed-point operation result X _ qf _ residual of quantized spectral coefficients without quantization compensation is called to calculate residual data, and according to non-zero spectral data, the residual data is sequentially encoded in reverse order from low frequency to high frequency by using the original value fixed-point operation result X _ qf _ residual of quantized spectral coefficients without quantization compensation. In the LC3 encoded frame, sideband information is written in a reverse order, arithmetic coding is written in a forward order, the sign bit and the lowest bit of frequency spectrum data are written in a reverse order, and residual data are written in a reverse order.
Fig. 3 is a schematic diagram of another embodiment of the LC3 audio encoder post residual optimization apparatus according to the present invention.
In this embodiment, the LC3 post residual optimization apparatus for audio encoder mainly includes: a module, configured to store, in a time-sharing memory block manner, an original-value fixed-point operation result of a quantized spectral coefficient without quantization compensation in a process of performing spectral quantization on an audio signal by an LC3 audio encoder, where the original-value fixed-point operation result of the quantized spectral coefficient without quantization compensation is stored; means for performing noise level estimation, side information encoding, and spectral arithmetic encoding directly after performing spectral quantization; a module for calculating the residual space after the spectrum arithmetic coding in the LC3 coding frame structure after the spectrum arithmetic coding to obtain the residual coding actual space; and the module is used for sequentially carrying out residual coding from low frequency to high frequency in a reverse order according to the actual space of the residual coding and the result of the original value fixed-point operation of non-quantized compensation of the quantized spectral coefficient by utilizing non-quantized non-zero spectral data.
By applying the LC3 audio encoder post-residual optimization method, pre-prepared residual data is cancelled, memory consumption of a temporary variable register storage space caused by the maximum sample number of unpredictable residuals is saved, about 1 × 400 bytes are saved, excessive prepared residuals are saved, processor resource consumption caused by the stored residuals is saved, mainly consumption of a store storage instruction is saved, and about 0.2mcps is saved under code rates of 48kHz and 320kbps under a Cadence Hifi3 dsp platform. When directly encoding residual data according to an accurate residual encoding space in residual encoding, the code size ROM is reduced by about 150 bytes.
The LC3 audio encoder post residual optimization apparatus provided by the present invention can be used to perform the LC3 audio encoder post residual optimization method described in any of the above embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
In another embodiment of the present invention, a computer-readable storage medium stores computer instructions, wherein the computer instructions are operable to perform the LC3 audio encoder post-residual optimization method described in any embodiment. Wherein the storage medium may be directly in hardware, in a software module executed by a processor, or in a combination of the two.
A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium.
The Processor may be a Central Processing Unit (CPU), other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), other Programmable logic devices, discrete Gate or transistor logic, discrete hardware components, or any combination thereof. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one embodiment of the present application, a computer device includes a processor and a memory, the memory storing computer instructions, wherein: the processor operates the computer instructions to perform the LC3 audio encoder post residual optimization method described in any of the embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structural changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. A LC3 audio encoder post residual optimization method, comprising:
pre-storing the result of the original value fixed-point operation of quantized spectral coefficients without quantization compensation in the process of carrying out the spectral quantization on an audio signal by an LC3 audio encoder;
directly performing noise level estimation, sideband information coding and spectral arithmetic coding after performing spectral quantization;
after the spectrum arithmetic coding, calculating to obtain a residual coding actual space in an LC3 coding frame structure; and
and according to the actual space of the residual coding, carrying out residual coding by using the original value fixed-point operation result of the quantized spectral coefficient without quantization compensation.
2. The LC3 audio encoder post residual optimization method of claim 1, wherein the process of calculating a residual coding real space after the spectral arithmetic coding comprises,
and calculating the residual space after the spectrum arithmetic coding in the LC3 coding frame structure to obtain the residual coding actual space.
3. The LC3 audio encoder post residual optimization method of claim 1, wherein the process of residual encoding according to the residual encoding real space by using the result of the original fixed-point operation without quantization compensation of the quantized spectral coefficients comprises:
and according to the non-zero frequency spectrum data, carrying out residual error coding by using the original value fixed-point operation result of the quantized frequency spectrum coefficient without quantization compensation.
4. The LC3 audio encoder post residual optimization method of claim 4, wherein the process of residual encoding from non-zero spectral data using the result of the original fixed-point operation with quantized spectral coefficients not quantization-compensated comprises:
and sequentially performing residual error coding in a reverse order from low frequency to high frequency by using the original value fixed-point operation result of the quantized spectral coefficients without quantization compensation.
5. The LC3 audio encoder post-residual optimization method of claim 1, wherein a time-sharing memory block approach is used to store results of original-valued fix-up operations in which quantized spectral coefficients are not quantized and compensated.
6. An LC3 audio encoder post residual optimization device, comprising:
a module for pre-storing the result of the original value fixed-point operation that the quantized spectral coefficients are not quantized and compensated in the process of the LC3 audio encoder performing the spectral quantization on the audio signal;
means for performing noise level estimation, side information encoding, and spectral arithmetic encoding directly after performing spectral quantization;
means for calculating a residual coding real space in an LC3 coding frame structure after the spectral arithmetic coding; and
and the module is used for carrying out residual coding by utilizing the original value fixed-point operation result of the quantized spectral coefficient without quantization compensation according to the residual coding actual space.
7. A computer readable storage medium storing computer instructions, wherein the computer instructions are operative to perform the LC3 audio encoder post residual optimization method of any of claims 1-5.
8. A computer device comprising a processor and a memory, the memory storing computer instructions, wherein the processor operates the computer instructions to perform the LC3 audio encoder post residual optimization method of any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011178540.0A CN112289327B (en) | 2020-10-29 | 2020-10-29 | LC3 audio encoder post residual optimization method, device and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011178540.0A CN112289327B (en) | 2020-10-29 | 2020-10-29 | LC3 audio encoder post residual optimization method, device and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112289327A true CN112289327A (en) | 2021-01-29 |
| CN112289327B CN112289327B (en) | 2024-06-14 |
Family
ID=74373900
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011178540.0A Active CN112289327B (en) | 2020-10-29 | 2020-10-29 | LC3 audio encoder post residual optimization method, device and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112289327B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0643898A (en) * | 1992-07-24 | 1994-02-18 | Matsushita Electric Ind Co Ltd | Voice coding device |
| US20020143556A1 (en) * | 2001-01-26 | 2002-10-03 | Kadatch Andrew V. | Quantization loop with heuristic approach |
| US20050071027A1 (en) * | 2003-09-26 | 2005-03-31 | Ittiam Systems (P) Ltd. | Systems and methods for low bit rate audio coders |
| CN1677493A (en) * | 2004-04-01 | 2005-10-05 | 北京宫羽数字技术有限责任公司 | Intensified audio-frequency coding-decoding device and method |
| KR20070027669A (en) * | 2007-02-01 | 2007-03-09 | 삼성전자주식회사 | Low bitrate encoding/decoding method and apparatus |
| KR20100007648A (en) * | 2008-07-14 | 2010-01-22 | 삼성전자주식회사 | Method and apparatus for encoding/decoding audio signal |
| US20100286991A1 (en) * | 2008-01-04 | 2010-11-11 | Dolby International Ab | Audio encoder and decoder |
| US20120039414A1 (en) * | 2010-08-10 | 2012-02-16 | Qualcomm Incorporated | Using quantized prediction memory during fast recovery coding |
| WO2012161675A1 (en) * | 2011-05-20 | 2012-11-29 | Google Inc. | Redundant coding unit for audio codec |
| CN106415716A (en) * | 2014-03-14 | 2017-02-15 | 弗劳恩霍夫应用研究促进协会 | Encoder, decoder and method for encoding and decoding |
| CN110709925A (en) * | 2017-04-10 | 2020-01-17 | 诺基亚技术有限公司 | Audio coding |
| CN111833891A (en) * | 2020-07-21 | 2020-10-27 | 北京百瑞互联技术有限公司 | LC3 encoding and decoding system, LC3 encoder and optimization method thereof |
-
2020
- 2020-10-29 CN CN202011178540.0A patent/CN112289327B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0643898A (en) * | 1992-07-24 | 1994-02-18 | Matsushita Electric Ind Co Ltd | Voice coding device |
| US20020143556A1 (en) * | 2001-01-26 | 2002-10-03 | Kadatch Andrew V. | Quantization loop with heuristic approach |
| US20050071027A1 (en) * | 2003-09-26 | 2005-03-31 | Ittiam Systems (P) Ltd. | Systems and methods for low bit rate audio coders |
| CN1677493A (en) * | 2004-04-01 | 2005-10-05 | 北京宫羽数字技术有限责任公司 | Intensified audio-frequency coding-decoding device and method |
| KR20070027669A (en) * | 2007-02-01 | 2007-03-09 | 삼성전자주식회사 | Low bitrate encoding/decoding method and apparatus |
| US20100286991A1 (en) * | 2008-01-04 | 2010-11-11 | Dolby International Ab | Audio encoder and decoder |
| KR20100007648A (en) * | 2008-07-14 | 2010-01-22 | 삼성전자주식회사 | Method and apparatus for encoding/decoding audio signal |
| US20120039414A1 (en) * | 2010-08-10 | 2012-02-16 | Qualcomm Incorporated | Using quantized prediction memory during fast recovery coding |
| WO2012161675A1 (en) * | 2011-05-20 | 2012-11-29 | Google Inc. | Redundant coding unit for audio codec |
| CN106415716A (en) * | 2014-03-14 | 2017-02-15 | 弗劳恩霍夫应用研究促进协会 | Encoder, decoder and method for encoding and decoding |
| CN110709925A (en) * | 2017-04-10 | 2020-01-17 | 诺基亚技术有限公司 | Audio coding |
| CN111833891A (en) * | 2020-07-21 | 2020-10-27 | 北京百瑞互联技术有限公司 | LC3 encoding and decoding system, LC3 encoder and optimization method thereof |
Non-Patent Citations (2)
| Title |
|---|
| 侯兴松;薛端;: "一种H.264残差系数修剪算法", 西安交通大学学报, no. 10 * |
| 景麟;王宏远;马泳;周娅;: "基于残差分布特性的运动补偿算法", 计算机工程, no. 12 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112289327B (en) | 2024-06-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10715807B2 (en) | Method and apparatus for pyramid vector quantization indexing and de-indexing of audio/video sample vectors | |
| CN1873778B (en) | Method for decoding speech signal | |
| KR100346963B1 (en) | Transmission system comprising at least one encoder | |
| FI116992B (en) | Methods, systems, and devices for enhancing audio coding and transmission | |
| KR101563554B1 (en) | Video encoder with an integrated temporal filter for denoising | |
| KR102017892B1 (en) | Improved hierarchical coding | |
| CN111681663B (en) | Method, system, storage medium and device for reducing audio coding computation amount | |
| US9853659B2 (en) | Split gain shape vector coding | |
| CN111833891A (en) | LC3 encoding and decoding system, LC3 encoder and optimization method thereof | |
| US20070024472A1 (en) | Computing circuits and method for running an MPEG-2 AAC or MPEG-4 AAC audio decoding algorithm on programmable processors | |
| KR102615901B1 (en) | Differential data in digital audio signals | |
| JP5704018B2 (en) | Audio signal encoding method and apparatus | |
| US20220101868A1 (en) | Audio encoder with a signal-dependent number and precision control, audio decoder, and related methods and computer programs | |
| CN112669860B (en) | Method and device for increasing effective bandwidth of LC3 audio coding and decoding | |
| CN112289327A (en) | LC3 audio encoder post residual optimization method, device and medium | |
| CN111933162B (en) | Method for optimizing LC3 encoder residual error coding and noise estimation coding | |
| KR20230129581A (en) | Improved frame loss correction with voice information | |
| CN112735450B (en) | Method, device, storage medium and equipment for transmitting data based on voice channel | |
| JPH0126207B2 (en) | ||
| CN112735446A (en) | Method, system and medium for adding extra information in LC3 audio code stream | |
| US9165561B2 (en) | Apparatus and method for processing voice signal | |
| CN112735452B (en) | Coding method, device, storage medium and equipment for realizing ultra-low coding rate | |
| JP6266193B2 (en) | Data compression apparatus, data expansion apparatus, data compression program, data expansion program, data compression method, and data expansion method | |
| CN112270928B (en) | Method, device and storage medium for reducing code rate of audio encoder | |
| JP2006162774A (en) | Signal processor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: A1009, floor 9, block a, No. 9, Shangdi Third Street, Haidian District, Beijing 100085 Applicant after: Beijing Bairui Internet Technology Co.,Ltd. Address before: 7-1-1, building C, 7 / F, building 2-1, No.2, Shangdi Information Road, Haidian District, Beijing 100085 Applicant before: BARROT WIRELESS Co.,Ltd. Country or region before: China |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |