Improved speaker identification in wireless environment Online publication date: Fri, 13-Sep-2013
by Anil Kumar Vuppala; K. Sreenivasa Rao; Saswat Chakrabarti
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 6, No. 3, 2013
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.
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