A survey on speech synthesis techniques in Indian languages

被引：0

作者：

Soumya Priyadarsini Panda

Ajit Kumar Nayak

Satyananda Champati Rai

机构：

[1] Silicon Institute of Technology,Department of CSE

[2] Siksha ‘O’ Anusandhan University,Department of CS and IT

[3] Silicon Institute of Technology,Department of IT

来源：

Multimedia Systems | 2020年 / 26卷

关键词：

Text to speech system; Speech synthesis; Indian languages; Concatenative synthesis; Formant synthesis; Articulatory synthesis; Syllable-based synthesis; HMM-based synthesis; Statistical parametric synthesis; Polyglot synthesis; Multilingual synthesis; Waveform concatenation, Deep learning;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The text to speech technology has achieved significant progress during the past decade and is an active area of research and development in providing different human–computer interactive systems. Even though a number of speech synthesis models are available for different languages focusing on the domain requirements with many motive applications, a source of information on current trends in Indian language speech synthesis is unavailable till date making it difficult for the beginners to initiate research for the development of TTS systems for the low-resourced languages. This paper provides a review of the contributions made by different researchers in the field of Indian language speech synthesis along with a study on the Indian language characteristics and the associated challenges in designing TTS systems. A set of available applications and tools results out of different projects undertaken by different organizations along with a set of possible future developments are also discussed to provide a single reference to an important strand of research in speech synthesis which may benefit anyone interested to initiate research in this area.

引用

页码：453 / 478

页数：25

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