Speaker-adapted confidence measures for speech recognition of video lectures
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- 作者：Isaias Sanchez-Cortina ; isanchez@dsic.upv.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jesú ; s André ; s-Ferrer jandres@dsic.upv.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Alberto Sanchis josanna@dsic.upv.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Alfons Juan ajuan@dsic.upv.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Confidence measures ; Speech recognition ; Speaker adaptation ; Log-linear models ; Online video lectures
- 刊名：Computer Speech & Language
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：37
- 期：Complete
- 页码：11-23
- 全文大小：948 K
文摘
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A new, particular logistic regression model is proposed to improve confidence measures for automatic speech recognition.
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Speaker-adapted models are proposed to further improve confidence measures.
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Empirical results are provided showing that speaker-adapted models outperform their non-adapted counterparts.
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The improvement of confidence measures shown to be useful on an interactive speech transcription application.