STUDY OF INFORMATIVE SPEECH FEATURES FOR AUTOMATIC SPEAKER IDENTIFICATION
“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
