A prosody-based approach to end-of-utterance detection that does not require speech recognition
A prosody-based approach to end-of-utterance detection that does not require speech recognition
复制标题
一种基于韵律的语音结尾检测方法，不需要语音识别
DOI：
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发表时间：
2003
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：
Luciana Ferrer;Elizabeth Shriberg;A. Stolcke
在以前的工作中，我们表明，国家的最先进的话语结束检测（如使用，例如，在对话系统中）可以显着改善，通过使用韵律和/或语言模型，预测话语端点，基于单词和对齐输出从语音识别器。但是，在端点确定中使用识别器在某些应用中可能不实用。我们证明，由于韵律知识的改进，可以实现很大程度上没有对齐信息，即，而不需要语音识别器。一个韵律结束的话语检测器，只使用语音/非语音检测输出仍然是相当准确的，并具有较低的延迟比基线系统的基础上暂停长度阈值。
In previous work we showed that state-of-the-art end-of-utterance detection (as used, for example, in dialog systems) can be improved significantly by making use of prosodic and/or language models that predict utterance endpoints, based on word and alignment output from a speech recognizer. However, using a recognizer in endpointing might not be practical in certain applications. We demonstrate that the improvements due to the prosodic knowledge can be realized largely without alignment information, i.e., without requiring a speech recognizer. A prosodic end-of-utterance detector using only speech/nonspeech detection output is still considerably more accurate and has lower latency than a baseline system based on pause-length thresholding.