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Acoustic Pronunciation Variations Modeling for Standard Malay Speech Recognition

机译:用于标准马来语语音识别的原声发音变化建模

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This paper presents different methods of handling pronunciation variations in Standard Malay (SM) speech recognition. Pronunciation variation can be handled by explicitly modifying the knowledge sources or improving the decoding method. Two types of pronunciation variations are defined, namely, complete or phone changes and partial or sound changes. Complete or phone change means that one phoneme is realized as another phoneme. Meanwhile, a partial or sound change happens when the acoustic realization is ambiguous between two phonemes. Complete or phone changes can be handled by constructing a pronunciation variation dictionary to include alternative pronunciations at the lexical level or dynamically expanding the search space to include those pronunciation variants.? Sound or partial changes can be handled by adjusting the acoustic models through sharing or adaptation of the Gaussian mixture components. Experimental results show that the use of a pronunciation variation dictionary and the method of dynamic search space expansion can improve speech recognition performance substantially.? The methods of acoustic model refinement were found to be relatively less effective in our experiments.
机译:本文提出了在标准马来语(SM)语音识别中处理发音变化的不同方法。语音变化可以通过显式修改知识源或改进解码方法来处理。定义了两种类型的发音变化,即完全或电话更改以及部分或声音更改。完成或更改电话意味着一个音素被实现为另一音素。同时,当两个音素之间的声学​​实现不明确时,会发生部分或声音变化。可以通过构建发音变体词典以在词汇级别上包含替代发音或动态扩展搜索空间以包括这些发音变体来处理完整的或电话中的更改。可以通过共享或调整高斯混合分量来调整声学模型,从而处理声音或部分更改。实验结果表明,使用语音变化字典和动态搜索空间扩展方法可以大大提高语音识别性能。声学模型细化的方法在我们的实验中被发现相对无效。

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