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期刊论文
N-BEST SPEECH HYPOTHESIS REORDERING BASED ON COMPREHENSIVE INFORMATION THEORY
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This paper proposes a hypothesis reordering technique, based on a newly established theory, namely Comprehensive Information Theory, to improve the accuracy of speech recognition in a man-machine dialog system. For each hypothesis, we calculate the amount of comprehensive information that hypothesis provided and then reorder N-best hypothesis according to the amount of comprehensive information. Results of experiments have shown its effectiveness.
【免责声明】以下全部内容由[刘建毅]上传于[2008年03月21日 16时49分05秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。
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