Pitch Maxima for Robust Speaker Recognition

Krishnakumar, S and Kumari, Prasanna KR and Balakrishnan, N (2003) Pitch Maxima for Robust Speaker Recognition. In: IEEE International Conference on Acoustics, Speech and Signal Processing, April 6-10, 2003, Hong Kong, II-201.

Preview

PDF SPEAKER_RECOGNITION.pdf Download (620kB)

Abstract

This paper presents a novel approach to the design of a robust speaker recognition system. A noise-free synthesised spectrum is produced from a noisy spectrum. This synthesised spectrum is used for feature extraction. From noisy speech, the pitch is extracted using a robust pitch estimation algorithm. This also helps in identifying the voiced segments of speech which are the only ones considered in the synthesis. After estimating pitch, the noisy signal is sampled in the frequency domain at pitch harmonics. From the sampled data, a reconstruction procedure is suggested in this paper in order to generate a noise-free synthesised spectrum which retains the characteristics of the speaker but rejects the noisy contributions. We compare results with the original MFCC parameters and show that on a 100 speaker database, the MFCC parameters computed on the reconstructed spectrum consistently outperforms conventional MFCC parameters over a full range of noise levels under mismatched conditions, while maintaining comparable performance under matched conditions.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Pitch maxima;Spectrum analysis
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	25 Aug 2008
Last Modified:	19 Sep 2010 04:14
URI:	http://eprints.iisc.ac.in/id/eprint/1127

Actions (login required)

View Item