Multi-model approach for noisy speech recognition

Cun-Tai Guan; Shu-Hung Leung; Wing-Hong Lau

doi:10.1049/el:19980042

Multi-model approach for noisy speech recognition

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Overview

1 Scopus Citations

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Author(s)

Related Research Unit(s)

Department of Electrical Engineering

Detail(s)

Original language	English
Pages (from-to)	30-32
Journal / Publication	Electronics Letters
Volume	34
Issue number	1
Publication status	Published - 8 Jan 1998

Link(s)

DOI	DOI https://doi.org/10.1049/el:19980042 Final Published version
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Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-0032495381&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(b096c6ae-d329-409a-82d2-a43189835999).html

Abstract

A multi-model approach for noisy speech recognition is proposed. This approach comprises an SVD-based preprocessing front-end, and a multi-model HMM recognition structure. It can provide a high recognition rate over a large range of SNRs for speech recognition in wide-band additive noise.