NDLI: On the use of perceptual Line Spectral Pairs Frequencies for speaker identification

Content Provider	IEEE Xplore Digital Library
Author	Sahidullah, M. Saha, G.
Copyright Year	2010
Description	Author affiliation: Department of Electronics and Electrical Communication Engineering Indian Institute of Technology, Kharagpur, India, Kharagpur-721 302 (Sahidullah, M.; Saha, G.)
Abstract	Line Spectral Pairs Frequencies (LSFs) provide an alternative representation of the linear prediction coefficients. In this paper an investigation is carried out for extracting feature for speaker identification task which is based on perceptual analysis of speech signal and LSF. A modified version of the standard perceptual analysis is applied to obtain better performance. We have extracted the conventional LSF from the perceptually modified speech signal. State-of-the art Gaussian Mixture Model (GMM) based classifier is employed to design the closed set speaker identification system. The proposed method shows significant performance improvement over existing techniques in three different speech corpuses.
Starting Page	1
Ending Page	5
File Size	443729
Page Count	5
File Format	PDF
ISBN	9781424463831
e-ISBN	9781424463862
DOI	10.1109/NCC.2010.5430208
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-29
Publisher Place	INDIA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Line Spectral Pairs Frequencies Speech analysis Predictive models Perceptual Linear Prediction Linear predictive coding Speaker recognition Mel frequency cepstral coefficient Cepstral analysis Feature extraction Robustness Performance analysis Gaussian Mixture Model (GMM) Speaker Identification Signal analysis
Content Type	Text
Resource Type	Article

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