维吾尔口音口语语音识别研究

Yating Yang, Bo Ma, Xinyu Tang, Osman Turghun
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引用次数: 0

摘要

本研究主要研究带有口音口语的维吾尔语语音识别问题。在基于标准口语识别系统的语音变异口语识别中,识别率不够高。提出了一种基于维吾尔口音口语的语音识别框架,分析了维吾尔语语音特征,描述了维吾尔语语音变化现象,建立了维吾尔语语音模型和多语音词典。初步实验结果表明,该方法提高了维吾尔语连续语音识别的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech Recognition Research on Uyghur Accent Spoken Language
This research focus on the problem of Uygur language speech recognition with the accent spoken language. The recognition rate is not high enough, when recognizing the spoken language with pronunciation variation based on the recognition system of standard spoken language. We propose a Speech Recognition framework based on Uighur Accent Spoken Language, analyze acoustic characteristics, describe the phenomenon of pronunciation variation of Uyghur and create the acoustic model and the multi-pronunciation dictionary. The preliminary experimental results showed the capability of the proposed method improved the performance of the Uyghur continuous speech recognition.
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