TY - JOUR
T1 - Usable speech processing
T2 - A filterless approach in the presence of interference
AU - Smolenski, Brett Y.
AU - Ramachandran, Ravi P.
N1 - Funding Information:
This project was funded by Rome Air Force Research Laboratories to RADC Inc. and Rowan University under Contract No. FA8750-10-C-0249.
PY - 2011/6
Y1 - 2011/6
N2 - A speech signal is commonly corrupted by non-stationary interference in different environments. The interference distributes itself nonuniformly over the temporal regions of the signal. This makes certain segments more speech dominant and hence, usable for speech processing applications like speaker identification and speech recognition. The main part of this paper examines the detection of usable segments in a co-channel environment having two interfering speakers. A method based on determining the Target-to-Interferer Ratio to detect the usable portions in which one speaker is very dominant over the other is discussed. A short discussion of additive noise distortion follows. Experimental results are presented.
AB - A speech signal is commonly corrupted by non-stationary interference in different environments. The interference distributes itself nonuniformly over the temporal regions of the signal. This makes certain segments more speech dominant and hence, usable for speech processing applications like speaker identification and speech recognition. The main part of this paper examines the detection of usable segments in a co-channel environment having two interfering speakers. A method based on determining the Target-to-Interferer Ratio to detect the usable portions in which one speaker is very dominant over the other is discussed. A short discussion of additive noise distortion follows. Experimental results are presented.
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U2 - 10.1109/MCAS.2011.941078
DO - 10.1109/MCAS.2011.941078
M3 - Article
AN - SCOPUS:79958799700
SN - 1531-636X
VL - 11
SP - 8
EP - 22
JO - IEEE Circuits and Systems Magazine
JF - IEEE Circuits and Systems Magazine
IS - 2
M1 - 5871482
ER -