Prosody Modeling for Automatic Speech Understanding: An Overview of Recent Research at SRI
Prosody Modeling for Automatic Speech Understanding: An Overview of Recent Research at SRI
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自动语音理解的韵律建模：SRI 最新研究概述
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
A. Stolcke
中科院分区：
文献类型：
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作者：
Elizabeth Shriberg;A. Stolcke
韵律作为语音理解的一个重要知识源，一直受到人们的重视。近年来，有大量的计算工作，旨在韵律建模的自动语音识别和理解。尽管目前大多数语音处理方法仅对单词建模，但韵律提供了口语中固有且专有的额外知识源。因此，它可以提供单独从文本中无法直接获得的额外信息，并且还可以作为部分冗余的知识源，可以帮助克服由错误的单词识别引起的错误。
Prosody has long been studied as an important knowledge source for speech understanding. In recent years there has been a large amount of computational work aimed at prosodic modeling for automatic speech recognition and understanding. Whereas most current approaches to speech processing model only the words, prosody provides an additional knowledge source that is inherent in, and exclusive to, spoken language. It can therefore provide additional information that is not directly available from text alone, and also serves as a partially redundant knowledge source that may help overcome the errors resulting from faulty word recognition.