Fusion of auditory inspired amplitude modulation spectrum and cepstral features for whispered and normal speech speaker verification-Reference-Cited by-同舟云学术

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Fusion of auditory inspired amplitude modulation spectrum and cepstral features for whispered and normal speech speaker verification

Published:2017-09 Issue: Volume:45 Page:437-456
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Sarria-Paja Milton,Falk Tiago H.

Funder

Natural Sciences and Engineering Research Council of Canada

COLCIENCIAS

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference52 articles.

1. Bob: a free signal processing and machine learning toolbox for researchers;Anjos,2012

2. Subband approach for automatic speaker recognition: optimal division of the frequency domain;Besacier,1997

3. The BOSARIS Toolkit User Guide: Theory, Algorithms and Code for Binary Classifier Score Processing;Brummer,2011

4. A preliminary study on emotions of chinese whispered speech;Chenghui,2009

5. Investigation on lp-residual representations for speaker identification;Chetouani;Pattern Recognit.,2009

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