Ïkizge Dilimi Kullanarak Metinden Baǧimsiz Konuşmaci Belirlemenin Gürbüzleştirilmesi

Translated title of the contribution: Robust text-independent speaker identification using bispectrum slice

Tolga Esat Ozkurt*, Tayfun Akgül

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose to use a bispectrum slice for the mel-frequency cepstrum coefficients as robust features, to be used in Gaussian mixture model for text-independent speaker identification. In theory, higher order statistics can suppress additive Gaussian noise and save phase information unlike autocorrelation based (power spectral) methods. Feature extraction is achieved through the mel-frequency filter banks, the cosine transform and the logarithm operation to obtain cepstral coefficients. Performance of our proposed features are then compared with the classical mel-frequency cepstrum coefficients under various noisy test uttarances.

Translated title of the contributionRobust text-independent speaker identification using bispectrum slice
Original languageTurkish
Title of host publicationProceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
EditorsB. Gunsel
Pages418-421
Number of pages4
Publication statusPublished - 2004
EventProceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004 - Kusadasi, Turkey
Duration: 28 Apr 200430 Apr 2004

Publication series

NameProceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004

Conference

ConferenceProceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004
Country/TerritoryTurkey
CityKusadasi
Period28/04/0430/04/04

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