A Bi-lingual Mandarin/Taiwanese(min-nan), large vocabulary, continuous speech recognition system based on the Tong-yong phonetic Alphabet (TYPA)

Ren Yuan Lyu, Chi Yu Chen, Yuang Chin Chiang, Min Shung Liang

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

8 Scopus citations

Abstract

In this paper, we describe the first Mandarin/Taiwanese (Min-nan) bi-lingual, continuous speech recognition system for large vocabulary or vocabulary-independent applications. A phonetic transcription system called Tong-yong Phonetic Alphabet (TYPA) is described and used to transcribe the bilingual Mandarin/Taiwanese lexicons. The Right-Context-Dependent (RCD) phonetic continuous-density Hidden Markov Models (CHMM) based on TYPA are used as the acoustic models. A lexicon tree containing 40 thousand bilingual words is used as a searching net to evaluate the performance of the recognizer. A 92.55% word accuracy is achieved on a speaker dependent case. Furthermore, we construct a continuous-speech real-time demonstration system based on the vocabulary-independent RCD models for a specific application domain of automated hospital appointment arrangement, where Mandarin/Taiwanese mixed speech is very possible to happen.

Original languageEnglish
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
StatePublished - 2000
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: 16 10 200020 10 2000

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Conference

Conference6th International Conference on Spoken Language Processing, ICSLP 2000
Country/TerritoryChina
CityBeijing
Period16/10/0020/10/00

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