Automatic acoustic segmentation for speech recognition on broadcast recordings

Gang Peng, Mei Yuh Hwang, Mari Ostendorf

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

4 Citations (Scopus)

Abstract

This paper investigates the issue of automatic segmentation of speech recordings for broadcast news (BN) and broadcast conversation (BC) speech recognition. Our previous segmentation algorithm often exhibited high deletion errors, where some speech segments were misclassified as non-speech and thus were never passed on to the recognizer. In contrast with our previous segmentation models, which only differentiated between speech and non-speech segments, phonetic knowledge is applied to represent speech by using multiple models for different types of speech segments. Moreover, the "pronunciation" of the speech segment has been modified to loosen the minimum duration constraint. This method makes use of language specific knowledge, while keeping the number of models low to achieve fast segmentation. Experimental results show that the new segmenter outperforms our previous segmenter significantly, particularly in reducing deletion errors.
Original languageEnglish
Title of host publicationInternational Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Pages2580-2583
Number of pages4
Volume4
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event8th Annual Conference of the International Speech Communication Association, Interspeech 2007 - Antwerp, Belgium
Duration: 27 Aug 200731 Aug 2007

Conference

Conference8th Annual Conference of the International Speech Communication Association, Interspeech 2007
CountryBelgium
CityAntwerp
Period27/08/0731/08/07

Keywords

  • Automatic acoustic segmentation
  • Broadcast conversation
  • Broadcast news
  • Machine translation
  • Speech recognition

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Modelling and Simulation
  • Linguistics and Language
  • Communication

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