CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
方硕; 陶建华
Conference Name第十三届全国人机语音通讯会议
Source Publication第十三届全国人机语音通讯会议
Conference Date2015-10
Conference Place天津
Other AbstractIn order to improve the expressiveness of synthetic speech, a question speech synthesis method based on adaptive training is proposed in this paper. By statistical parametric speech synthesis based on MSD-HSMM, a large corpus of exclamatory sentences is used to train the initial acoustic model. Based on the initial acoustic model, a small corpus of question sentences is adaptively trained to gain the question acoustic model and then synthesize the question speech. Conclusions can drew from the experiments that the subjective and objective evaluations of the synthetic speech by this method is superior to the traditional method, where the same size corpus of question sentences is trained directly. Besides, the results of a relatively small training corpus by this method are comparable with the larger training corpus by the traditional method
Keyword疑问句生成 自适应 语音合成
Indexed By其他
Document Type会议论文
Corresponding Author陶建华
Recommended Citation
GB/T 7714
方硕,陶建华. 基于自适应训练的疑问句语音合成[C],2015.
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