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HMM-based Indonesian speech synthesis system with declarative and question sentences intonation

机译:基于HMM的印度尼西亚语音合成系统,具有声明性和疑问句语调

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In this paper, we present a result of HMM-based speech synthesis system applied to Indonesian with prosody information in declarative and question sentences. The purpose is to observe the speech quality of synthesized speech from declarative to question sentences, conversely. Variation is given in kind of sentences and training data amount. We use 44, 72, 116, 450, 929 and 1379 training data. The result were evaluated by objective and subjective test. In objective test using MCD method earn the best score for question sentences with score 4.32 in 450 training data. Then for declarative sentences with score 5.13 in 929 training data. Subjective test with DMOS method obtain naturalness for declarative and question sentences with score 3.53 and 3.36 in 1379 training sentences respectively. The result shows that “degradation speech is slightly annoying”, it is possibly caused by poor F estimates.
机译:在本文中,我们提出了基于HMM的语音合成系统应用于印度尼西亚语的结果,该系统在陈述性和疑问句中带有韵律信息。相反,目的是观察从陈述性语句到疑问句的合成语音的语音质量。句子和训练数据量的种类有所不同。我们使用44、72、116、450、929和1379个训练数据。通过客观和主观测试对结果进行评估。在使用MCD方法的客观测试中,对于450个训练数据中的得分为4.32的疑问句,得分最高。然后针对929个训练数据中得分为5.13的陈述性句子。 DMOS方法的主观测试在1379个训练句子中分别获得了得分为3.53和3.36的陈述性和疑问句的自然性。结果表明,“退化语音有点烦人”,这可能是由于F估计不正确引起的。

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