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1. WO2019060137 - PERSISTENT INTERFERENCE DETECTION

Publication Number WO/2019/060137
Publication Date 28.03.2019
International Application No. PCT/US2018/049575
International Filing Date 05.09.2018
IPC
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
CPC
G01S 3/8006
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
3Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
80using ultrasonic, sonic or infrasonic waves
8006Multi-channel systems specially adapted for direction-finding, i.e. having a single aerial system capable of giving simultaneous indications of the directions of different signals
G01S 3/8083
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
3Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
80using ultrasonic, sonic or infrasonic waves
802Systems for determining direction or deviation from predetermined direction
808using transducers spaced apart and measuring phase or time difference between signals therefrom, i.e. path-difference systems
8083determining direction of source
G10L 2021/02166
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
02161Number of inputs available containing the signal or the noise to be suppressed
02166Microphone arrays; Beamforming
G10L 21/0208
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 21/0224
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
0224Processing in the time domain
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
Applicants
  • CIRRUS LOGIC INTERNATIONAL SEMICONDUCTOR LTD. [GB]/[GB] (AllExceptUS)
  • KOVVALI, Narayan [IN]/[US] (US)
  • SUPPAPPOLA, Seth [US]/[US] (US)
Inventors
  • KOVVALI, Narayan
  • SUPPAPPOLA, Seth
Agents
  • SMITH, Darren
  • PRATI, Danny
  • LIN, Steven
  • MCLELLAN, Peter
  • BARRETT, Michael
Priority Data
15/714,19025.09.2017US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) PERSISTENT INTERFERENCE DETECTION
(FR) DÉTECTION D'INTERFÉRENCES PERSISTANTES
Abstract
(EN)
A multi-microphone algorithm for detecting and differentiating interference sources from desired talker speech in advanced audio processing for smart home applications is described. The approach is based on characterizing a persistent interference source when sounds repeated occur from a fixed spatial location relative to the device, which is also fixed. Some examples of such interference sources include TV, music system, air-conditioner, washing machine, and dishwasher. Real human talkers, in contrast, are not expected to remain stationary and speak continuously from the same position for a long time. The persistency of an acoustic source is established based on identifying historically-recurring inter-microphone frequency- dependent phase profiles in multiple time periods of the audio data. The detection algorithm can be used with a beamforming processor to suppress the interference and for achieving voice quality and automatic speech recognition rate improvements in smart home applications.
(FR)
L'invention concerne un algorithme à plusieurs microphones pour détecter et différencier des sources d'interférences de la parole d'un locuteur souhaité dans un traitement audio avancé pour des applications domestiques intelligentes. L'approche est basée sur la caractérisation d'une source d'interférences persistantes lorsque des sons répétés se produisent à partir d'une position spatiale fixe par rapport au dispositif, qui est également fixe. Comme exemples de telles sources d'interférences, on peut citer une télévision, une chaîne stéréo, un climatiseur, un lave-linge et un lave-vaisselle. En revanche, les locuteurs humains réels ne sont pas censés rester fixes et parler constamment à partir du même endroit pendant une longue période. La persistance d'une source acoustique est établie sur la base de l'identification de profils de phase à dépendance fréquentielle entre microphones et historiquement récurrents sur plusieurs périodes des données audio. L'algorithme de détection peut être utilisé avec un processeur de formation de faisceaux pour supprimer les interférences et pour obtenir des améliorations en termes de qualité vocale et de vitesse de reconnaissance vocale automatique dans des applications domestiques intelligentes.
Also published as
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