ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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10
Issue
vol 60 / OCTOBER, 2017
Article
UDC 004.93+57.087.1

STUDY OF INFORMATIVE SPEECH FEATURES FOR AUTOMATIC SPEAKER IDENTIFICATION

Y. N. Matveev
“STC-Innovation”, Saint Petersburg, 196084, Russian Federation; ITMO University, Saint Petersburg, 197101, Russian Federation; Chief Scientific Officer, Head of the Chair


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Abstract.   The most popular speech features used in automatic speaker recognition systems are studied. Results of experiments with speech database collected in different acoustic environments (wide range of signal/noise levels and reverberation times) and over different channels are reported.
Keywords: speech features, speaker identification