首页> 外国专利> LANGUANGE MODEL CLUSTERING BASED SPEECH RECOGNITION APPARATUS AND METHOD

LANGUANGE MODEL CLUSTERING BASED SPEECH RECOGNITION APPARATUS AND METHOD

机译:基于语言模型聚类的语音识别装置和方法

摘要

Disclosed are a device and method for recognizing a sound based on a language model clustering. The method for recognizing a sound based on a language model clustering according to an aspect of the present invention comprises the following steps: outputting a first N-best candidate list by performing a sound recognition by using a first language model for inputted sound data; determining a mixture weight value for each language model cluster by using any one recognition candidate from the first N-best candidate list; interpolating each language model cluster based on the mixture weight value; and rescoring the first N-best candidate list by using a result in which each language model cluster is interpolated.
机译:公开了一种基于语言模型聚类来识别声音的设备和方法。根据本发明的一个方面,基于语言模型聚类的声音识别方法包括以下步骤:通过使用用于输入的声音数据的第一语言模型执行声音识别,输出第一N个最佳候选列表。通过使用第一N个最佳候选列表中的任意一个识别候选,确定每个语言模型群的混合权重值;根据混合权重值对每个语言模型聚类进行插值;通过对每个语言模型簇进行插值的结果对第一N个最佳候选者列表进行评分。

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