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Speaker adaptation and voice conversion by codebook mapping

机译:通过码本映射实现说话人适应和语音转换

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The authors summarize a speaker adaptation algorithm based on codebook mapping from one speaker to a standard speaker. This algorithm has been developed to be useful in various kinds of speech recognition systems such as hidden-Markov-model-based, feature-based, and neural-network-based systems. The codebook mapping speaker adaptation algorithm has been much improved by introducing several ideas based on fuzzy vector quantization. This fuzzy codebook mapping algorithm is also applicable to voice conversion between arbitrary speakers.
机译:作者总结了基于从一个说话者到一个标准说话者的码本映射的说话者自适应算法。该算法已被开发为可用于各种语音识别系统,例如基于隐马尔可夫模型,基于特征和基于神经网络的系统。通过引入一些基于模糊矢量量化的思想,对码本映射说话人自适应算法进行了很大的改进。该模糊码本映射算法也适用于任意说话者之间的语音转换。

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