Article: Improved speaker identification in wireless environment Journal: International Journal of Signal and Imaging Systems Engineering (IJSISE) 2013 Vol.6 No.3 pp.130 - 137 Abstract: The increasing use of wireless mobile systems is creating great deal of interest in the development of robust speech systems in wireless environment. The major degradations involved in wireless environment are: acoustic environment, speech coding and transmission errors. In this paper, we address the problem of Speaker Identification (SI) from coded and cellular speech. Since speaker-specific characteristics are preserved in steady vowel segments of speech even after coding, the features extracted from these steady vowel regions are used to build the SI system. We have proposed a method to determine the steady vowel region from the speech signal by using vowel onset points and epochs. SI studies are carried out using cellular, coded and microphone speech databases. Auto-associative Neural Network (AANN) models are explored for developing the SI models. Speech coders considered in this work are GSM CELP, and MELP. Significant improvement in the performance of SI system is observed by using proposed approach. Inderscience Publishers - linking academia, business and industry through research

Title: Improved speaker identification in wireless environment

Authors: Anil Kumar Vuppala; K. Sreenivasa Rao; Saswat Chakrabarti

Addresses: G.S.S. School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur 721302, India ' School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India ' G.S.S. School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur 721302, India

Abstract: The increasing use of wireless mobile systems is creating great deal of interest in the development of robust speech systems in wireless environment. The major degradations involved in wireless environment are: acoustic environment, speech coding and transmission errors. In this paper, we address the problem of Speaker Identification (SI) from coded and cellular speech. Since speaker-specific characteristics are preserved in steady vowel segments of speech even after coding, the features extracted from these steady vowel regions are used to build the SI system. We have proposed a method to determine the steady vowel region from the speech signal by using vowel onset points and epochs. SI studies are carried out using cellular, coded and microphone speech databases. Auto-associative Neural Network (AANN) models are explored for developing the SI models. Speech coders considered in this work are GSM CELP, and MELP. Significant improvement in the performance of SI system is observed by using proposed approach.

Keywords: speaker identification; wireless environment; VOP; vowel onset points; epochs; speech coders; GSM full rate; CELP; MELP; wireless networks; mobile networks; robust speech systems; feature extraction; steady vowel region; speech signals; neural networks.

DOI: 10.1504/IJSISE.2013.054789

International Journal of Signal and Imaging Systems Engineering, 2013 Vol.6 No.3, pp.130 - 137

Received: 15 Apr 2011
Accepted: 05 Jul 2011
Published online: 13 Sep 2013 *

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Title: Improved speaker identification in wireless environment

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