MX2021004636A - Codificacion de audio perceptual con division en mosaicos de tiempo/frecuencia, no uniforme, adaptativa que utiliza fusion de subbandas y reduccion de solapamiento de dominio de tiempo. - Google Patents

Codificacion de audio perceptual con division en mosaicos de tiempo/frecuencia, no uniforme, adaptativa que utiliza fusion de subbandas y reduccion de solapamiento de dominio de tiempo.

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Publication number
MX2021004636A
MX2021004636A MX2021004636A MX2021004636A MX2021004636A MX 2021004636 A MX2021004636 A MX 2021004636A MX 2021004636 A MX2021004636 A MX 2021004636A MX 2021004636 A MX2021004636 A MX 2021004636A MX 2021004636 A MX2021004636 A MX 2021004636A
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MX
Mexico
Prior art keywords
samples
block
audio signal
bins
basis
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MX2021004636A
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English (en)
Inventor
Bernd Edler
Sascha Disch
Nils Werner
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Fraunhofer Ges Forschung
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Application filed by Fraunhofer Ges Forschung filed Critical Fraunhofer Ges Forschung
Publication of MX2021004636A publication Critical patent/MX2021004636A/es

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    • 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
    • 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
    • G10L19/0212—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 using orthogonal transformation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/147—Discrete orthonormal transforms, e.g. discrete cosine transform, discrete sine transform, and variations therefrom, e.g. modified discrete cosine transform, integer transforms approximating the discrete cosine transform
    • 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
    • G10L19/0204—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 using subband decomposition
    • 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
    • G10L19/022—Blocking, i.e. grouping of samples in time; Choice of analysis windows; Overlap factoring
    • 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
    • G10L19/26—Pre-filtering or post-filtering

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (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)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Discrete Mathematics (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)

Abstract

Modalidades proporcionan un procesador de audio para procesar una señal de audio para obtener una representación de subbanda de la señal de audio. El procesador de audio se configura para realizar una transformada muestreada críticamente traslapada en cascada en al menos dos bloques parcialmente superpuestos de muestras de la señal de audio, para obtener un conjunto de muestras de subbanda con base en un primer bloque de muestras de la señal de audio, y para obtener un conjunto correspondiente de muestras de subbanda con base en un segundo bloque de muestras de la señal de audio. Además, el procesador de audio se configura para realizar una combinación ponderada de dos conjuntos correspondientes de muestras de subbanda, una obtenida con base en el primer bloque de muestras de la señal de audio y otra obtenida con base en el segundo bloque de muestras de la señal de audio, para obtener una representación de subbanda de solapamiento reducido de la señal de audio; en donde la realización de una transformada muestreada críticamente traslapada en cascada comprende segmentar un conjunto de tramos obtenidos con base en el primer bloque de muestras usando al menos dos funciones de ventana, y para obtener al menos dos conjuntos segmentados de tramos con base en el conjunto segmentado de tramos correspondiente al primer bloque de muestras; en donde la realización de una transformada muestreada críticamente traslapada en cascada comprende segmentar un conjunto de tramos obtenidos con base en el segundo bloque de muestras usando las al menos dos funciones de ventana, y para obtener al menos dos conjuntos de tramos con base en el conjunto segmentado de tramos correspondiente al segundo bloque de muestras; y en donde los conjuntos de tramos se procesan usando una segunda transformada muestreada críticamente traslapada de la transformada muestreada críticamente traslapada en cascada, en donde la segunda transformada muestreada críticamente traslapada comprende realizar transformadas muestreadas críticamente traslapadas que tienen la misma longitud de cuadro para al menos un conjunto de tramos.
MX2021004636A 2018-10-26 2019-10-16 Codificacion de audio perceptual con division en mosaicos de tiempo/frecuencia, no uniforme, adaptativa que utiliza fusion de subbandas y reduccion de solapamiento de dominio de tiempo. MX2021004636A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP18202927 2018-10-26
EP19169635.0A EP3644313A1 (en) 2018-10-26 2019-04-16 Perceptual audio coding with adaptive non-uniform time/frequency tiling using subband merging and time domain aliasing reduction
PCT/EP2019/078112 WO2020083727A1 (en) 2018-10-26 2019-10-16 Perceptual audio coding with adaptive non-uniform time/frequency tiling using subband merging and the time domain aliasing reduction

Publications (1)

Publication Number Publication Date
MX2021004636A true MX2021004636A (es) 2021-05-28

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MX2021004636A MX2021004636A (es) 2018-10-26 2019-10-16 Codificacion de audio perceptual con division en mosaicos de tiempo/frecuencia, no uniforme, adaptativa que utiliza fusion de subbandas y reduccion de solapamiento de dominio de tiempo.

Country Status (9)

Country Link
US (1) US11688408B2 (es)
EP (2) EP3644313A1 (es)
JP (1) JP7279160B2 (es)
KR (1) KR102630922B1 (es)
CN (1) CN113330515B (es)
BR (1) BR112021007516A2 (es)
CA (1) CA3118121C (es)
MX (1) MX2021004636A (es)
WO (1) WO2020083727A1 (es)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3786948A1 (en) * 2019-08-28 2021-03-03 Fraunhofer Gesellschaft zur Förderung der Angewand Time-varying time-frequency tilings using non-uniform orthogonal filterbanks based on mdct analysis/synthesis and tdar

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US7516064B2 (en) 2004-02-19 2009-04-07 Dolby Laboratories Licensing Corporation Adaptive hybrid transform for signal analysis and synthesis
US7548853B2 (en) * 2005-06-17 2009-06-16 Shmunk Dmitry V Scalable compressed audio bit stream and codec using a hierarchical filterbank and multichannel joint coding
US7548727B2 (en) * 2005-10-26 2009-06-16 Broadcom Corporation Method and system for an efficient implementation of the Bluetooth® subband codec (SBC)
KR100647336B1 (ko) 2005-11-08 2006-11-23 삼성전자주식회사 적응적 시간/주파수 기반 오디오 부호화/복호화 장치 및방법
EP2015293A1 (en) * 2007-06-14 2009-01-14 Deutsche Thomson OHG Method and apparatus for encoding and decoding an audio signal using adaptively switched temporal resolution in the spectral domain
MX2011000375A (es) * 2008-07-11 2011-05-19 Fraunhofer Ges Forschung Codificador y decodificador de audio para codificar y decodificar tramas de una señal de audio muestreada.
EP2144171B1 (en) * 2008-07-11 2018-05-16 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Audio encoder and decoder for encoding and decoding frames of a sampled audio signal
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SG185519A1 (en) * 2011-02-14 2012-12-28 Fraunhofer Ges Forschung Information signal representation using lapped transform
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Also Published As

Publication number Publication date
US20210233544A1 (en) 2021-07-29
CN113330515A (zh) 2021-08-31
KR20210076134A (ko) 2021-06-23
JP2022505789A (ja) 2022-01-14
JP7279160B2 (ja) 2023-05-22
EP3871215A1 (en) 2021-09-01
CN113330515B (zh) 2024-05-24
WO2020083727A1 (en) 2020-04-30
EP3871215B1 (en) 2023-09-13
US11688408B2 (en) 2023-06-27
KR102630922B1 (ko) 2024-01-30
BR112021007516A2 (pt) 2021-07-27
CA3118121A1 (en) 2020-04-30
CA3118121C (en) 2023-10-03
EP3871215C0 (en) 2023-09-13
EP3644313A1 (en) 2020-04-29

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