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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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
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Abstract 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).
AbstractList 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).
Author Talmi, M.
Jesorsky, P.
Hofker, U.
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Snippet 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...
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StartPage 279
SubjectTerms Bandwidth
Computer science
Feature extraction
Hardware
Pattern recognition
Production systems
Speech analysis
Speech coding
Speech processing
Stress
Title Extraction of speaker-specific features from spoken code sentences
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