Parallel tone score association method for tone language speech recognition

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Tone is an essential component for word formation in all tone languages. Substantial work has been done on using tone information to improve speech recognition of tone languages. In this paper, a new method, called Parallel Tone Score Association (PTSA), for effectively and efficiently using tone in speech recognition is proposed. Experimental results show that the relative character error rates are reduced by as much as 20.94% for Cantonese, and 20.49% for Mandarin compared with the recognition results without tone information. This relative reduction in error rates compares favorably with results reported for other recognition experiments on tone languages.
Original languageEnglish
Title of host publication8th International Conference on Spoken Language Processing, ICSLP 2004
PublisherInternational Speech Communication Association
Pages397-400
Number of pages4
Publication statusPublished - 1 Jan 2004
Externally publishedYes
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - International Convention Center, Jeju, Jeju Island, Korea, Republic of
Duration: 4 Oct 20048 Oct 2004

Conference

Conference8th International Conference on Spoken Language Processing, ICSLP 2004
Country/TerritoryKorea, Republic of
CityJeju, Jeju Island
Period4/10/048/10/04

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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