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Parameter Generation Considering LSP Ordering Property for HMM-Based Speech Synthesis

机译:基于HMM的语音合成中考虑LSP排序特性的参数生成

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摘要

The ordering property of LSP cannot be guaranteed during HMM-based speech synthesis when LSP is adopted as the spectrum feature, with the result that naturalness of synthetic speech will degrade. This letter introduces a modified parameter generation method to preserve ordering property of generated LSPs, by not only maximizing the likelihoods of HMM and global variance (GV) as in conventional method but also minizing a penalty on mis-orderings. Experimental results show that the proposed method can alleviate the mis-orderings significantly and achieve high quality synthesizing performance when the penalty weight is selected appropriately.
机译:当采用LSP作为频谱特征时,在基于HMM的语音合成过程中不能保证LSP的排序特性,从而导致合成语音的自然性下降。这封信介绍了一种修改后的参数生成方法,该方法不仅可以像传统方法一样通过最大程度地提高HMM和全局方差(GV)的可能性,而且还可以减少错误排序的损失,从而保留生成的LSP的排序属性。实验结果表明,该方法在适当选择惩罚权重的情况下,可以大大减轻乱序现象,实现高质量的综合性能。

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