Extraction of speaker-specific features from spoken code sentences

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-maximu...

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Bibliographic Details
Published inICASSP '78. IEEE International Conference on Acoustics, Speech, and Signal Processing Vol. 3; pp. 279 - 282
Main Authors Jesorsky, P., Hofker, U., Talmi, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1978
Subjects
Bandwidth
Computer science
Feature extraction
Hardware
Pattern recognition
Production systems
Speech analysis
Speech coding
Speech processing
Stress
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Summary: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).
DOI:10.1109/ICASSP.1978.1170396