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Extraction of speaker-specific features from spoken code sentences

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3 Author(s)
P. Jesorsky ; Heinrich-Hertz-Institut für Nachrichtentechnik GmbH, Einsteinufer, Berlin, Germany ; U. Hofker ; M. Talmi

In the speaker-verification task speakers are assumed to be cooperative and are therefore willing to pronounce a pre-arranged code sentence. This paper deals with the extraction of speaker-specific features from a time-normalized parametric description of the code sentence. A new mml (minimum-maximum-locating) method for time-normalization is presented together with an overview of techniques used for feature-extraction. Results of recognition experiments are discussed, which have been obtained with the AUROS system (Automatic Recognition of Speakers by Computers).

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.  (Volume:3 )

Date of Conference:

Apr 1978