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首页> 外文会议>Annual conference of the International Speech Communication Association >Cross-lingual Speaker Adaptation for HMM-based Speech Synthesis based on Perceptual Characteristics and Speaker Interpolation
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Cross-lingual Speaker Adaptation for HMM-based Speech Synthesis based on Perceptual Characteristics and Speaker Interpolation

机译：基于感知特性和说话人插值的基于HMM语音合成的跨语言说话人自适应

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This paper proposes a cross-lingual speaker adaptation (CLSA) method based on perceptual characteristics (PCs). To develop a CLSA system, a state mapping (SM) based method has been recently proposed. This method extracts speaker characteristics directly from source acoustic features as linear transforms and applies them to target models. However, it is difficult to completely eliminate language dependency from speaker transforms, and the synthesized speech is affected by source language dependency. Furthermore, there is no theoretical framework for adapting prosodic information. Hence, this paper presents a framework that uses a language-independent space of PCs for providing mapping between languages. Since the output speech is synthesized from the acoustic models of the target language only, the proposed method is not affected by the acoustics of the source language. Moreover, by using a language-independent space for language mapping, the proposed method is potentially able to adapt prosodic information from the target speaker. Experimental results show that the proposed method produces speech that sounds similar to the target speaker and improves the naturalness of the synthesized speech.
机译：本文提出了一种基于感知特征（PCs）的跨语言说话者自适应（CLSA）方法。为了开发CLSA系统，近来提出了一种基于状态映射（SM）的方法。该方法直接从源声学特征中提取说话者特征，并进行线性变换，并将其应用于目标模型。但是，很难从说话人变换中完全消除语言依赖性，并且合成语音受源语言依赖性的影响。此外，没有适用于韵律信息的理论框架。因此，本文提出了一种框架，该框架使用PC的语言独立空间来提供语言之间的映射。由于输出语音仅从目标语言的声学模型中合成，因此所提出的方法不受源语言的声学影响。此外，通过使用独立于语言的空间进行语言映射，所提出的方法潜在地能够适应来自目标说话者的韵律信息。实验结果表明，该方法产生的语音听起来与目标说话者相似，并且提高了合成语音的自然度。

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