Automatic Talker Identification Using Optimal Spectral Resolution: Application in noisy environment and telephony

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Author(s): Siham Ouamour (USTHB University, Algeria), Halim Sayoud (USTHB University, Algeria)and Mhania Guerti (ENS.Polytechnique, Algeria)
Copyright: 2011
Pages: 13
Source title: Innovations in Mobile Multimedia Communications and Applications: New Technologies
Source Author(s)/Editor(s): Ismail Khalil (Johannes Kepler University Linz, Austria)and Edgar R. Weippl (Secure Business Austria, Austria)
DOI: 10.4018/978-1-60960-563-6.ch014

Keywords: Information Science Reference / Media & Communications / Mobile and Wireless Computing / Multimedia Technology

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Abstract

Results show the importance of the high spectral resolution in noisy environment and telephonic bandwidth, while the current research works have always favoured the low resolution of 24 coefficients in such tasks. For example, the authors notice an improvement of about 11% on the identification score, since they increase the resolution from 24 to 48 MFSC, in the telephonic bandwidth.

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Automatic Talker Identification Using Optimal Spectral Resolution: Application in noisy environment and telephony

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