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  • 标题:Confidence Measure for Utterance Verification in Keyword Spotting System
  • 本地全文:下载
  • 作者:Jeong-Sik Park
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2012
  • 卷号:7
  • 期号:2
  • 出版社:SERSC
  • 摘要:In this article, we propose an utterance verification technique for keyword spotting. The keyword spotting system analyzes a given spoken content and searches every speech segment in which one of pre-defined keywords is uttered. To maintain a stable recognition performance in the system, we propose an utterance verification technique that verifies whether a found utterance, or a candidate keyword segment, can be categorized as a keyword. The proposed approach employs a confidence measure based on the recognition results (N-best log-likelihood). In keyword spotting experiments using spoken broadcast news, our approach achieved superior performance compared to the conventional approach.
  • 关键词:Keyword spotting; Utterance verification; Confidence measure.
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