Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions

Chien Lin Huang, Bin Ma, Chung Hsien Wu, Brian Mak, Haizhou Li

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

This study presents a novel approach of feature analysis to speaker verification. There are two main contributions in this paper. First, the feature analysis of short-time frequency with long-time window (SFLW) is a compact feature for the efficiency of speaker verification. The purpose of SFLW is to take account of short-time frequency characteristics and longtime resolution at the same time. Secondly, the fusion of multi-resolutions is used for the effectiveness of robust speaker verification. The speaker verification system can be further improved using multi-resolution features. The experimental results indicate that the proposed approaches not only speed up the processing time but also improve the performance of speaker verification.

Original languageEnglish
Pages (from-to)1897-1900
Number of pages4
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication statusPublished - 2008 Dec 1
EventINTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia
Duration: 2008 Sep 222008 Sep 26

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Sensory Systems

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