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

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

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	1897-1900
Number of pages	4
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication status	Published - 2008 Dec 1
Event	INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia Duration: 2008 Sept 22 → 2008 Sept 26

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Signal Processing
Software
Sensory Systems

Cite this

@article{44175a7fda5f4f409bb4e7482d0a45fa,

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

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.",

author = "Huang, \{Chien Lin\} and Bin Ma and Wu, \{Chung Hsien\} and Brian Mak and Haizhou Li",

year = "2008",

month = dec,

day = "1",

language = "English",

pages = "1897--1900",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

publisher = "International Speech Communication Association",

note = "INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association ; Conference date: 22-09-2008 Through 26-09-2008",

}

Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions. / Huang, Chien Lin; Ma, Bin; Wu, Chung Hsien et al.
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 01.12.2008, p. 1897-1900.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions

AU - Huang, Chien Lin

AU - Ma, Bin

AU - Wu, Chung Hsien

AU - Mak, Brian

AU - Li, Haizhou

PY - 2008/12/1

Y1 - 2008/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84867191111

UR - https://www.scopus.com/pages/publications/84867191111#tab=citedBy

M3 - Conference article

AN - SCOPUS:84867191111

SN - 2308-457X

SP - 1897

EP - 1900

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

T2 - INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association

Y2 - 22 September 2008 through 26 September 2008

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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