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
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