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A Novel Speech Separation Approach for Enhanced Speaker Identification and…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
83488
Program Year/Program:
2007 / STTR
Agency Tracking Number:
N074-039-0242
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
SIGNAL PROCESSING, INC.
9700 Great Seneca Highway Rockville, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: A Novel Speech Separation Approach for Enhanced Speaker Identification and Speech Recognition
Agency / Branch: DOD / NAVY
Contract: N00014-07-M-0349
Award Amount: $70,000.00
 

Abstract:

In order to improve the performance of speaker identification and speech recognition, we need an integrated approach. We propose a novel approach that addresses all of the above challenges in a unified framework. First, we propose to apply microphone arrays (1-D, 2-D or 3-D) to acquire speech signals. The arrays can provide better Direction of Arrivals (DOA) estimation and improves background noise suppression. The collected speech will have high SNR. Second, we propose to apply the latest speech enhancement algorithm developed by our subcontractor at UM. The idea is based on Modified Phase Opponency (MPO) and does not require noise estimation. Third, for each separated speech stream, there may still be regions that have poor SNR. So we propose to apply spectrogram reconstruction algorithm to repair the poor SNR regions. Fourth, robust features based on Mel-frequency Cepstral Coefficients (MFCC) will be applied to the repaired spectrogram. Finally, Gaussian Mixture Model (GMM) and Hidden Markov Model (HMM) will be used to identify the speaker and recognize the speech.

Principal Investigator:

Chiman Kwan
Chief Technology Officer
2405052641
chiman.kwan@signalpro.net

Business Contact:

Chihwa Yung
President
3013152322
chihwa.yung@signalpro.net
Small Business Information at Submission:

SIGNAL PROCESSING, INC.
13619 Valley Oak Circle ROCKVILLE, MD 20850

EIN/Tax ID: 134320631
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF MARYLAND
Department of Electrical and
Computer Engineering
College Park, MD 20742
Contact: Carol Espy-Wilson
Contact Phone: (301) 405-7411
RI Type: Nonprofit college or university