Yayın: Impact of pitch frequency on speaker identification
Tarih
Kurum Yazarları
Eskidere, Ömer
Ertaş, Figen
Yazarlar
Danışman
Dil
Türü
Yayıncı:
IEEE
Dergi Başlığı
Dergi ISSN
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Özet
In this paper, the impact of pitch frequency on speaker identification using Gaussian mixture model has been investigated employing clean speech (TIMIT) and telephone speech (NTIMIT) databases. Pitch frequency, as directly related to human vocal tract, may also be used as a speaker discriminating feature in noisy environments, such as telephone lines. Although the performance of pitch frequency alone is poor on telephone speech, it provides %8.34 enhancement in identification performance when used in combination with mel-frequency cepstral coefficients (mfcc).
Açıklama
Bu çalışma, 11-13 Haziran 2007 tarihleri arasında Eskişehir[Türkiye]’da düzenlenen IEEE 15. Signal Processing and Communications Applications Conference’da bildiri olarak sunulmuştur.
Kaynak:
Anahtar Kelimeler:
Konusu
Computer Science, Telecommunications, Engineering, Continuous speech recognition, Clean speech, Telephone speech, Gaussian mixture model, Speaker identification, Human vocal tract, Pitch frequencies, Identification performance, Noisy environments, Mel-Frequency Cepstral Coefficients, Loudspeakers, Signal processing, Telephone sets, Speech, Telephone, Speech enhancement, Speech recognition
Alıntı
Eskidere, Ö. ve Ertaş, F. (2007). "Impact of pitch frequency on speaker identification". 2007 IEEE 15. Signal Processing and Communications Applications, SIU, 1-3, 499.