Position information for language modeling in speech recognition

Hsuan Sheng Chiu, Guan Yu Chen, Chun Jen Lee, Berlin Chen

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

4 Citations (Scopus)

Abstract

This paper considers word position information for language modeling. For organized documents, such as technical papers or news reports, the composition and the word usage of articles of the same style are usually similar. Therefore, the documents can be separated into partitions consisting of identical rhetoric or topic styles by the literary structures, e.g., introductory remarks, related studies or events, elucidations of methodology or affairs, conclusions of the articles, and references, or footnotes of reporters. In this paper, we explore word position information and then propose two position-dependent language models for speech recognition. The structures and characteristics of these position-dependent language models were extensively investigated, while its performance was analyzed and verified by comparing it with the existing n-gram, mixture- and topic-based language models. The large vocabulary continuous speech recognition (LVCSR) experiments were conducted on the broadcast news transcription task. The preliminary results seem to indicate that the proposed position-dependent models are comparable to the mixture- and topic-based models.

Original languageEnglish
Title of host publicationProceedings - 2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008
Pages101-104
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 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

Other

Other2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008
CountryChina
CityKunming
Period08/12/1608/12/19

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Keywords

  • Language model
  • Language model adaptation
  • Position information
  • Speech recognition
  • Topic information

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

Cite this

Chiu, H. S., Chen, G. Y., Lee, C. J., & Chen, B. (2008). Position information for language modeling in speech recognition. In Proceedings - 2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008 (pp. 101-104). [4730291] (Proceedings - 2008 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008). https://doi.org/10.1109/CHINSL.2008.ECP.37