Voice retrieval of Mandarin broadcast news speech

Berlin Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


This paper presents an improved framework for voice retrieval of Mandarin broadcast news speech. First, several unsupervised and data-driven approaches for broadcast news transcription were proposed to improve the speech recognition accuracy and efficiency. Then, a multiscale indexing paradigm for broadcast news retrieval was exploited to alleviate the problems caused by the speech recognition errors and the flexible wording structure of the Chinese language. Finally, we used the PDA as the platform and broadcast radio programs collected in Taiwan as the document collection to establish a speech-based multimedia information retrieval prototype system. Very encouraging results were obtained.

Original languageEnglish
Pages (from-to)91-109
Number of pages19
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Issue number1
Publication statusPublished - 2006 Feb


  • Broadcast news
  • Information retrieval
  • Multimedia
  • Multiscale indexing
  • Speech recognition

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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