Variable-length unit selection using LSA-based syntactic structure cost

Chung-Hsien Wu, C. Hsia, Jiun-Fu Chen, Te-Hsien Liu
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Abstract

The paper introduces a variable-length unit selection method for concatenative speech synthesis based on a syntactic structure based on latent semantic analysis (LSA). First, a probabilistic context free grammar (PCFG) based parser is used to construct the syntactic structure of the input text sentence. Second, the synthesizer selects the candidate units for each node of the syntactic structure. LSA is then adopted to estimate the syntactic cost between the target unit and the candidate units in the database. Finally, the concatenation of units with minimum cost is selected using a dynamic programming algorithm. Experimental results show that variable-length unit selection based on syntactic structure outperforms the synthesizer that does not consider syntactic structure. Also, the LSA-based syntactic cost provides a better estimation of substitution cost than that calculated only from acoustic features.
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基于lsa的变长单元选择的句法结构代价
介绍了一种基于潜在语义分析(LSA)句法结构的变长单元选择方法。首先,使用基于概率上下文无关语法(PCFG)的解析器来构建输入文本句子的句法结构。其次,合成器为句法结构的每个节点选择候选单元。然后使用LSA来估计数据库中目标单元和候选单元之间的语法开销。最后,利用动态规划算法选择成本最小的单元串联。实验结果表明,基于句法结构的变长单元选择优于不考虑句法结构的合成器。此外,基于lsa的句法代价比仅从声学特征计算的替代代价提供了更好的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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