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1. WO2020223495 - SIGNAL COMPONENT ESTIMATION USING COHERENCE

Publication Number WO/2020/223495
Publication Date 05.11.2020
International Application No. PCT/US2020/030742
International Filing Date 30.04.2020
IPC
G10L 21/0232 2013.01
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
21Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
02Speech enhancement, e.g. noise reduction or echo cancellation
0208Noise filtering
0216characterised by the method used for estimating noise
0232Processing in the frequency domain
G10L 21/0264 2013.01
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
21Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
02Speech enhancement, e.g. noise reduction or echo cancellation
0208Noise filtering
0264characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
G10L 21/0208 2013.01
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
21Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
02Speech enhancement, e.g. noise reduction or echo cancellation
0208Noise filtering
G10L 19/012 2013.01
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
19Speech or audio signal 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
012Comfort noise or silence coding
CPC
G10L 19/012
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
19Speech 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
012Comfort noise or silence coding
G10L 2021/02082
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
21Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
02Speech enhancement, e.g. noise reduction or echo cancellation
0208Noise filtering
02082the noise being echo, reverberation of the speech
G10L 21/0232
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
21Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
02Speech enhancement, e.g. noise reduction or echo cancellation
0208Noise filtering
0216characterised by the method used for estimating noise
0232Processing in the frequency domain
G10L 21/0264
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
21Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
02Speech enhancement, e.g. noise reduction or echo cancellation
0208Noise filtering
0264characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
Applicants
  • BOSE CORPORATION [US]/[US]
Inventors
  • CHEUNG, Shiufun
  • SONG, Zukui
  • HERA, Cristian Marius
  • PAN, Davis Y
Agents
  • ANDREASEN, David S
Priority Data
62/841,60801.05.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SIGNAL COMPONENT ESTIMATION USING COHERENCE
(FR) ESTIMATION DE COMPOSANTE DE SIGNAL À L'AIDE D'UNE COHÉRENCE
Abstract
(EN)
Systems, methods, and machine-readable storage devices that receive an input signal representing audio captured using a microphone. The input signal includes portions that represent acoustic output from one or more audio sources, and a portion that represents other acoustic energy in the environment. A frequency domain representation of the input signal is iteratively modified to substantially reduce effects due to all but a selected one of the portions, from which an estimate of the power spectral density, PSD, of the selected portion is determined. Based upon the estimated PSD a noise or echo component is reduced, or a replacement noise is provided.The iterative modification involves a diagonalization of the cross-spectral density matrix to remove content coherent with a first audio input from the auto and cross-spectra of other signals.
(FR)
L'invention concerne des systèmes, des procédés et des dispositifs de stockage lisibles par machine qui reçoivent un signal d'entrée représentant un audio capturé à l'aide d'un microphone. Le signal d'entrée comprend des parties qui représentent une sortie acoustique d'une ou de plusieurs sources audio, et une partie qui représente une autre énergie acoustique dans l'environnement. Une représentation de domaine fréquentiel du signal d'entrée est modifiée de manière itérative afin de réduire sensiblement les effets dus à la totalité des parties à l’exception d’une partie sélectionnée, à partir de laquelle une estimation de la densité spectrale de puissance (PSD) de la partie sélectionnée est déterminée. D’après la PSD estimée, un bruit ou un composant d'écho est réduit, ou un bruit de remplacement est fourni. La modification itérative implique une diagonalisation de la matrice de densité interspectrale afin de supprimer un contenu cohérent avec une première entrée audio des auto-spectres et inter-spectres des autres signaux.
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