Speech retrieval of Mandarin broadcast news via mobile devices

Berlin Chen*, Yi Ting Chen, Chih Hao Chang, Hung Bin Chen

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

This paper presents a system for speech retrieval of Mandarin broadcast news. First, several data-driven and unsupervised approaches are integrated into the broadcast news transcription system to improve the speech recognition accuracy and efficiency. Then, a multi-scale indexing paradigm for broadcast news retrieval is proposed to make use of the special structural properties of the Chinese language as well as to alleviate the problems caused by the speech recognition errors. Finally, we use the PDA as the platform and Mandarin broadcast news stories collected in Taiwan as the document collection to establish a speech-based multimedia information retrieval prototype system. Very encouraging results are obtained.

Original languageEnglish
Pages109-112
Number of pages4
Publication statusPublished - 2005
Event9th European Conference on Speech Communication and Technology - Lisbon, Portugal
Duration: 2005 Sept 42005 Sept 8

Other

Other9th European Conference on Speech Communication and Technology
Country/TerritoryPortugal
CityLisbon
Period2005/09/042005/09/08

ASJC Scopus subject areas

  • General Engineering

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