声音上升:在基于音节的语音合成中帮助后退

S. Rallabandi, Ayushi Pandey, Sai Krishna Rallabandi, Tejas Godambe, S. Gangashetty
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引用次数: 2

摘要

在基于音节的单元选择语音合成系统中,采用退退技术来保持语音的自然性,即使缺少音节。在合成泰卢固语中缺失的复杂辅音簇音节时,我们引入了略读元音作为基于规则的退音策略[1]。在本文中,我们细化了该方法的范围,仅在相邻辅音之间的声音上升的情况下选择性地应用元音放大。当响度不上升时(顿停,液停集群),我们增加辅音的持续时间。由于在语言中观察到的元音扩音的特定模式,我们对印地语中元音扩音的身份进行了主观评价。根据听力测试的推断,我们设计了一个基于类的规则来进行扩音。此外,为了评估设计系统的性能,我们基于ASR系统的置信度度量进行了主观和客观的评估。我们使用扩词作为聚类修复策略,对合成的词的可理解性进行了电话级自动语音识别任务。结果表明,与传统的后退方法相比,提出的后退方法有助于产生更自然的语音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sonority rise: Aiding backoff in syllable-based speech synthesis
Back off techniques are employed in syllable based unit selection speech synthesis systems to maintain the naturalness of the speech in spite of the missing syllables. In synthesizing the missing complex consonant clusters syllables of Telugu, we introduced reduced vowel epenthesis as a rule-based backoff strategy[1]. In this paper, we refine the scope of the approach in selectively applying vowel epenthesis only in cases of sonority rise between adjacent consonants. When the sonority does not rise (stop-stop, liquid-stop clusters), we increase the duration of the consonant. Owing to specific patterns of vowel epenthesis observed in languages, we conduct a subjective evaluation to determine the identity of the epenthetic vowel in Hindi. From the inferences of the listening test, we devise a class based rule to perform epenthesis. Further, to evaluate the performance of the designed system, we perform both subjective as well as an objective evaluation based on confidence measures from an ASR system. We conduct a phone level automatic speech recognition task on the intelligibility of the words synthesized using epenthesis as a cluster-repair strategy. The results show that the proposed back off method helps in producing more natural-sounding speech compared to the conventional backoffs.
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