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

研究成果: Conference article同行評審

5 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)1897-1900
頁數4
期刊Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
出版狀態Published - 2008 十二月 1
事件INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia
持續時間: 2008 九月 222008 九月 26

All Science Journal Classification (ASJC) codes

  • 人機介面
  • 訊號處理
  • 軟體
  • 感覺系統

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