Malay Gupta resumes & CV records
Resumes
Malay N Gupta, 51South Elgin, IL
Malay Gupta Phones & Addresses
South Elgin, IL
Canton, MI
Detroit, MI
Schaumburg, IL
Dallas, TX
Albuquerque, NM
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Malay N Gupta
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Publications & IP owners
Us Patents
Spatio-Temporal Speech Enhancement Technique Based On Generalized Eigenvalue Decomposition
US Patent:
2010007, Mar 25, 2010
Filed:
Mar 27, 2009
Appl. No.:
12/413070
Inventors:
Scott C. DOUGLAS - University Park TX, US
Malay Gupta - Schaumburg IL, US
Malay Gupta - Schaumburg IL, US
Assignee:
Southern Methodist University - Dallas TX
International Classification:
G10L 21/02
US Classification:
704226, 704E21002
Abstract:
The present invention describes a speech enhancement method using microphone arrays and a new iterative technique for enhancing noisy speech signals under low signal-to-noise-ratio (SNR) environments. A first embodiment involves the processing of the observed noisy speech both in the spatial- and the temporal-domains to enhance the desired signal component speech and an iterative technique to compute the generalized eigenvectors of the multichannel data derived from the microphone array. The entire processing is done on the spatio-temporal correlation coefficient sequence of the observed data in order to avoid large matrix-vector multiplications. A further embodiment relates to a speech enhancement system that is composed of two stages. In the first stage, the noise component of the observed signal is whitened, and in the second stage a spatio-temporal power method is used to extract the most dominant speech component. In both the stages, the filters are adapted using the multichannel spatio-temporal correlation coefficients of the data and hence avoid large matrix vector multiplications.
Spatio-Temporal Speech Enhancement Technique Based On Generalized Eigenvalue Decomposition
US Patent:
2013004, Feb 14, 2013
Filed:
Sep 28, 2012
Appl. No.:
13/630944
Inventors:
Scott C. DOUGLAS - University Park TX, US
Malay Gupta - Schaumburg IL, US
Malay Gupta - Schaumburg IL, US
International Classification:
G10L 21/02
H04R 3/00
H04R 3/00
US Classification:
704226, 381122, 704E21002
Abstract:
Described herein is a speech enhancement method using microphone arrays and a new iterative technique for enhancing noisy speech signals under low signal-to-noise-ratio (SNR) environments. Included is the processing of observed noisy speech both in the spatial- and the temporal-domains to enhance the desired signal component speech and an iterative technique to compute the generalized eigenvectors of the multichannel data derived from the microphone array. The entire processing is done on the spatio-temporal correlation coefficient sequence of the observed data in order to avoid large matrix-vector multiplications. Also described is a speech enhancement system having two stages. In the first stage, the noise component of the observed signal is whitened, and in the second stage a spatio-temporal power method is used to extract the most dominant speech component. In both the stages, the filters are adapted using the multichannel spatio-temporal correlation coefficients of the data.
Echo Cancellation And Suppression In Electronic Device
US Patent:
2019011, Apr 18, 2019
Filed:
Dec 3, 2018
Appl. No.:
16/208451
Inventors:
- Chicago IL, US
JINCHENG WU - NAPERVILLE IL, US
JOEL A. CLARK - WOODRIDGE IL, US
MALAY GUPTA - SOUTH ELGIN IL, US
PLAMEN A. IVANOV - SCHAUMBURG IL, US
JINCHENG WU - NAPERVILLE IL, US
JOEL A. CLARK - WOODRIDGE IL, US
MALAY GUPTA - SOUTH ELGIN IL, US
PLAMEN A. IVANOV - SCHAUMBURG IL, US
International Classification:
G10L 21/0232
G10L 21/0272
G10L 21/0316
G10L 25/84
G10L 25/21
G10L 21/0272
G10L 21/0316
G10L 25/84
G10L 25/21
Abstract:
A method includes obtaining, by a processor, an audio echo signal and an audio desired signal from an acoustic echo correction stage of an electronic device, and converting the echo signal and the desired signal to the frequency domain. The method further includes grouping, by the processor, frequency bin results of respective frequency domain converted echo and desired signals into respective echo and desired sub-bands. A sub-band suppressor gain is estimated based on an estimated sub-band energy for the echo and desired sub-bands. The method further includes modulating the frequency domain converted desired signal to compensate for residual echo, the modulating based, at least in part, on the estimated sub-band suppressor gain, and the modulating producing a compensated frequency domain converted echo signal. The method also includes converting the compensated frequency domain converted desired signal into time domain converted audio output signal.
Spatio-Temporal Speech Enhancement Technique Based On Generalized Eigenvalue Decomposition
US Patent:
2017033, Nov 16, 2017
Filed:
Jul 24, 2017
Appl. No.:
15/658088
Inventors:
Scott C. DOUGLAS - University Park TX, US
Malay GUPTA - Schaumburg IL, US
Malay GUPTA - Schaumburg IL, US
Assignee:
Southern Methodist University - Dallas TX
International Classification:
G10L 21/0216
G10L 21/0216
G10L 21/0216
Abstract:
The present invention describes a speech enhancement method using microphone arrays and a new iterative technique for enhancing noisy speech signals under low signal-to-noise-ratio (SNR) environments. A first embodiment involves the processing of the observed noisy speech both in the spatial- and the temporal-domains to enhance the desired signal component speech and an iterative technique to compute the generalized eigenvectors of the multichannel data derived from the microphone array. The entire processing is done on the spatio-temporal correlation coefficient sequence of the observed data in order to avoid large matrix-vector multiplications. A further embodiment relates to a speech enhancement system that is composed of two stages. In the first stage, the noise component of the observed signal is whitened, and in the second stage a spatio-temporal power method is used to extract the most dominant speech component. In both the stages, the filters are adapted using the multichannel spatio-temporal correlation coefficients of the data and hence avoid large matrix vector multiplications.
Spatio-Temporal Speech Enhancement Technique Based On Generalized Eigenvalue Decomposition
US Patent:
2017013, May 11, 2017
Filed:
Nov 9, 2015
Appl. No.:
14/936402
Inventors:
Scott C. Douglas - University Park TX, US
Malay Gupta - Schaumburg IL, US
Malay Gupta - Schaumburg IL, US
Assignee:
Southern Methodist University - Dallas TX
International Classification:
G10L 21/0216
Abstract:
The present invention describes a speech enhancement method using microphone arrays and a new iterative technique for enhancing noisy speech signals under low signal-to-noise-ratio (SNR) environments. A first embodiment involves the processing of the observed noisy speech both in the spatial- and the temporal-domains to enhance the desired signal component speech and an iterative technique to compute the generalized eigenvectors of the multichannel data derived from the microphone array. The entire processing is done on the spatio-temporal correlation coefficient sequence of the observed data in order to avoid large matrix-vector multiplications. A further embodiment relates to a speech enhancement system that is composed of two stages. In the first stage, the noise component of the observed signal is whitened, and in the second stage a spatio-temporal power method is used to extract the most dominant speech component. In both the stages, the filters are adapted using the multichannel spatio-temporal correlation coefficients of the data and hence avoid large matrix vector multiplications.
Isbn (Books And Publications)
Banking In The 1990S: Proceedings And Papers Of Bank Economists' Conference, 1990, January 4-6, 1990
Author:
Malay Gupta
ISBN #:
8170402832
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