A waveform concatenation technique for text-to-speech synthesis

被引：8

作者：

Panda S.P. ^{[1
]}

Nayak A.K. ^{[2
]}

机构：

[1] Department of CSE, Silicon Institute of Technology, Bhubaneswar, Odisha

[2] Department of CS&IT, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha

来源：

International Journal of Speech Technology | 2017年 / 20卷 / 04期

关键词：

Concatenative technique; Indian languages; Speech synthesis; Text-to-speech system; Waveform concatenation;

D O I：

10.1007/s10772-017-9463-8

中图分类号：

学科分类号：

摘要：

Designing text-to-speech systems capable of producing natural sounding speech segments in different Indian languages is a challenging and ongoing problem. Due to the large number of possible pronunciations in different Indian languages, a number of speech segments are needed to be stored in the speech database while a concatenative speech synthesis technique is used to achieve highly natural speech segments. However, the large speech database size makes it unusable for small hand held devices or human computer interactive systems with limited storage resources. In this paper, we proposed a fraction-based waveform concatenation technique to produce intelligible speech segments from a small footprint speech database. The results of all the experiments performed shows the effectiveness of the proposed technique in producing intelligible speech segments in different Indian languages even with very less storage and computation overhead compared to the existing syllable-based technique. © 2017, Springer Science+Business Media, LLC.

引用

页码：959 / 976

页数：17

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