Recognition of syllable-contracted words in spontaneous speech using word expansion and duration information

Wei Bin Liang, Chung Hsien Wu, Yu Kai Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a graphical model-based approach to syllable-contracted (SC) word recognition of spontaneous Mandarin speech. Phone deletion and pronunciation reduction are two major effects for the syllable-contracted words in spontaneous speech. In this study, the syllable-contracted (SC) words selected from a collected corpus are used for pronunciation lexicon expansion to deal with the phone deletion problem. The duration information of SC words is then incorporated to cover the effect of pronunciation reduction. The graphical model is employed to rescore all possible word sequences, including the expanded SC words, to obtain the final word sequence. In the experimental results, the Mandarin Conversional Dialogue Corpus (MCDC) was used to evaluate the proposed method. Compared with the previous work, a satisfactory improvement on the performance of the proposed approach can be achieved.

Original languageEnglish
Title of host publicationProceedings - 2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008
PublisherIEEE Computer Society
Pages225-228
Number of pages4
ISBN (Print)9781424429431
DOIs
Publication statusPublished - 2008 Jan 1
Event2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008 - Kunming, China
Duration: 2008 Dec 162008 Dec 19

Publication series

NameProceedings - 2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008

Conference

Conference2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008
CountryChina
CityKunming
Period08-12-1608-12-19

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law
  • Computer Science Applications
  • Information Systems
  • Software
  • Energy(all)
  • Energy Engineering and Power Technology
  • Fuel Technology
  • Modelling and Simulation

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