Tone Evaluation of Chinese Continuous Speech Based on Prosodic Words

Yi-Qian Pan, Si Wei, Ren-Hua Wang
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引用次数: 3

Abstract

Tonal evaluation of Chinese continuous speech plays an important role in Mandarin Chinese pronunciation test. In this paper, we introduce the Multi- Space Distribution Hidden Markov Model based on prosodic word. The results show that the performance of tonal syllable error rate can be reduced. For the non-standard Chinese Mandarin speech, the correlation between computer score and expert score was improved above 3.0% absolutely, compared with the baseline system without tonal pronunciation test.
基于韵律词的汉语连续语音声调评价
汉语连续语音的声调评价在普通话语音测试中起着重要的作用。本文介绍了基于韵律词的多空间分布隐马尔可夫模型。结果表明,该方法可以降低声调音节的错误率。对于非标准汉语普通话语音,与不进行声调语音测试的基线系统相比,计算机得分与专家得分的相关性绝对提高了3.0%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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