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Unsupervised speech model adaptation using reliable information among N-best strings
Unsupervised speech model adaptation using reliable information among N-best strings
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机译:使用N个最佳字符串之间的可靠信息进行无监督语音模型自适应
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摘要
The system performs unsupervised speech model adaptation using the recognizer to generate the N-best solutions for an input utterance. Each of these N-best solutions is tested by a reliable information extraction process. Reliable information is extracted by a weighting technique based on likelihood scores generated by the recognizer, or by a non-linear thresholding function. The system may be used in a single pass implementation or iteratively in a multi-pass implementation.
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