Automatic talker activity labeling for co-channel talker interference suppression

A speaker activity detector is described. It takes cochannel speech as input and labeling intervals of the input as target-only, jammer-only, or two-speaker (target and jammer). The algorithms applied are borrowed primarily from speaker recognition, thereby allowing one to use speaker-dependent test...

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Bibliographic Details
Main Authors: Zissman, M.A., Weinstein, C.J., Braida, L.D.
Format: Conference Proceeding
Language:English
Subjects:
Detectors
Interference suppression
Jamming
Labeling
Performance analysis
Speaker recognition
Speech
Testing
Vector quantization
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Description
Summary:A speaker activity detector is described. It takes cochannel speech as input and labeling intervals of the input as target-only, jammer-only, or two-speaker (target and jammer). The algorithms applied are borrowed primarily from speaker recognition, thereby allowing one to use speaker-dependent test-utterance-independent information in a front-end for cochannel talker interference suppression. Parameters studied include classifier choice (vector quantization vs. Gaussian), training method (unsupervised vs. supervised), test utterance segmentation (uniform vs. adaptive), and training and testing target-to-jammer ratios. Using analysis interval lengths of 100 ms, performance reached 80% correct detection.< >
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1990.115950