A new duration modeling approach for Mandarin speech

Sin-Horng Chen, Wen-Hsing Lai, Yih-Ru Wang
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引用次数: 36

Abstract

A new duration modeling approach for Mandarin speech is proposed. It explicitly takes several major affecting factors, such as multiplicative companding factors (CFs), and estimates all model parameters by an EM algorithm. The three basic Tone 3 patterns (i.e., full tone, half tone and sandhi tone) are also properly considered using three different CFs to separate how they affect syllable duration. Experimental results show that the variance of the syllable duration is greatly reduced from 180.17 to 2.52 frame/sup 2/ (1 frame = 5 ms) by the syllable duration modeling to eliminate effects from those affecting factors. Moreover, the estimated CFs of those affecting factors agree well with our prior linguistic knowledge. Two extensions of the duration modeling method are also performed. One is the use of the same technique to model initial and final durations. The other is to replace the multiplicative model with an additive one. Lastly, a preliminary study of applying the proposed model to predict syllable duration for TTS (text-to-speech) is also performed. Experimental results show that it outperforms the conventional regressive prediction method.
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一种新的汉语语音时长的建模方法
提出了一种新的汉语语音时长的建模方法。它明确地考虑了几个主要的影响因素,如乘法扩展因子(CFs),并通过EM算法估计所有模型参数。三种基本的Tone 3模式(即全音、半音和连读音)也适当地被考虑使用三种不同的cf来区分它们对音节持续时间的影响。实验结果表明,通过音节时长建模,音节时长的方差从180.17帧/sup 2/(1帧= 5 ms)大大降低到2.52帧/sup 2/(1帧= 5 ms)。此外,这些影响因素的估计CFs与我们先前的语言知识非常吻合。对持续时间建模方法进行了两种扩展。一种是使用相同的技术对初始和最终持续时间进行建模。另一种是用加法模型代替乘法模型。最后,本文还进行了应用该模型预测TTS(文本到语音)音节时长的初步研究。实验结果表明,该方法优于传统的回归预测方法。
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