Segregation of speakers for speech recognition and speaker identification

1 January 1991

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

No. 15206149,p. 873-876 vol.2
https://doi.org/10.1109/icassp.1991.150477

Abstract

A method for segregating speech from speakers engaged in dialogs is described. The method, assuming no prior knowledge of the speakers, employs a distance measure between speech segments used in conjunction with a clustering algorithm to perform the segregation. Properties of the distance measure are discussed, and an air traffic control application is described.

Keywords

SPEECH RECOGNITION
SPEECH PROCESSING
TESTING
AIR TRAFFIC CONTROL
AUTOMATIC CONTROL
CLUSTERING ALGORITHMS
PERFORMANCE EVALUATION
AUTOMATIC SPEECH RECOGNITION
MAXIMUM LIKELIHOOD ESTIMATION

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