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SYSTEM AND METHOD OF PRONUNCIATION VARIATION MODELING BASED ON INDIRECT DATA-DRIVEN METHOD FOR FOREIGN SPEECH RECOGNITION

机译:基于间接数据驱动方法的语音识别语音变化建模系统和方法

摘要

A modeling system and a method thereof for ratio direct data base utterance side for improving the performance of the voice recognition system are provided to extract ratio direct data base utterance and improve the performance of the voice recognition system. A speech recognition modeling system comprises a characteristic detecting unit(101), a sound model database, an utterance model database, and a voice recognition circuit(102). The feature vector from the inputted voice is extracted from the characteristic detecting unit. The audio data are stored the sound model database. Pronunciation data are stored the utterance model database. The voice recognition circuit finds the word string in which the phoneme probability is the highest from the word string based on the feature vector.
机译:提供一种用于比例直接数据库话语侧以改善语音识别系统的性能的建模系统及其方法,以提取比例直接数据库话音并改善语音识别系统的性能。语音识别建模系统包括特征检测单元(101),声音模型数据库,话语模型数据库和语音识别电路(102)。从输入的语音中的特征向量是从特征检测单元中提取的。音频数据存储在声音模型数据库中。语音数据存储在话语模型数据库中。语音识别电路基于特征向量从单词串中找到音素概率最高的单词串。

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