Automatic talker activity labeling for co-channel talker interference suppression

Author

Zissman, M. ; Weinstein, C. ; Braida, L.

Author_Institution

MIT Lincoln Lab., Lexington, MA, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

813

Abstract

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

Keywords

encoding; interference suppression; jamming; speech recognition; 100 ms; Gaussian classifier; automatic talker activity labeling; cochannel talker interference suppression; speaker activity detector; speaker recognition; speaker-dependent; supervised training; target-to-jammer ratios; test utterance segmentation; unsupervised training; vector quantizing classifier; Detectors; Interference suppression; Jamming; Labeling; Laboratories; Parameter estimation; Performance analysis; Speaker recognition; Speech; Speech processing; Speech recognition; Target recognition; Testing; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115950

Filename

115950