A study on Mandarin broadcast news speech recognition

C. L. Chen*, Yih-Ru Wang, Sin-Horng Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MATBN database. It considers the acoustic modeling for Mandarin base-syllables, particles, and paralinguistic phenomena. It also considers environment-dependent acoustic modeling for three recording environments: studio anchors, outdoor reporters, and outdoor interviewee. Moreover, it incorporates a bigram language model with adaptation using data in MATBN. Syllable recognition rates of 89.64, 84.42and 61.62% were achieved for the three environments of anchors, reporters and interviewees, respectively.

Original languageEnglish
Title of host publication2004 International Symposium on Chinese Spoken Language Processing - Proceedings
Pages257-260
Number of pages4
DOIs
StatePublished - 1 Dec 2004
Event2004 International Symposium on Chinese Spoken Language Processing - Hong Kong, China, Hong Kong
Duration: 15 Dec 200418 Dec 2004

Publication series

Name2004 International Symposium on Chinese Spoken Language Processing - Proceedings

Conference

Conference2004 International Symposium on Chinese Spoken Language Processing
CountryHong Kong
CityHong Kong, China
Period15/12/0418/12/04

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