汉语语音的声调识别:普通话与广东话的比较研究

Gang Peng, Hongying Zheng, William S-Y. Wang
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引用次数: 2

摘要

本文对普通话和粤语语音自动连续识别进行了比较研究。与普通话相比,广东话的声调系统要复杂得多。研究了F/sub / 0/归一化对普通话和粤语语音识别的影响。此外,还从工程角度对两种音调系统进行了比较。对粤语和普通话的声调识别准确率分别为71.50%和83.06%。这些结果与在相同(广东话)和相似(普通话)数据库上进行的其他声调识别实验的结果比较有利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tone recognition for Chinese speech: a comparative study of Mandarin and Cantonese
The paper presents a comparative study on automatic continuous tone recognition for Mandarin and Cantonese. Compared with Mandarin, Cantonese has a much more complex tone system. The effects of F/sub 0/ normalization on the tone recognition of Mandarin and Cantonese are studied. Furthermore, the two tone systems are compared from an engineering point of view. Tone recognition accuracies of 71.50% and 83.06% have been obtained for Cantonese and Mandarin respectively. These results compare favorably with results reported for other tone recognition experiments on the same (for Cantonese) and similar (for Mandarin) databases.
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