JOURNAL ARTICLE

Text-to-Speech Synthesis: Literature Review with an Emphasis on Malayalam Language

M. P. JasirKannan Balakrishnan

Year: 2022 Journal:   ACM Transactions on Asian and Low-Resource Language Information Processing Vol: 21 (4)Pages: 1-56   Publisher: Association for Computing Machinery

Abstract

Text-to-Speech Synthesis (TTS) is an active area of research to generate synthetic speech from underlying text. The identified syllables are uttered with proper duration and prosody characteristics to emulate natural speech. It falls under the category of Natural Language Processing (NLP), which aims to bridge the gap in communication between human and machine. So far as Western languages like English are concerned, the research to produce intelligent and natural synthetic speech has advanced considerably. But in a multilingual state like India, many regional languages viz. Malayalam is underexplored when it comes to NLP. In this article, we try to amalgamate the major research works performed in the area of TTS in English and the prominent Indian languages, with a special emphasis on the South Indian language, Malayalam. This review intends to provide right direction to the research activities in the language, in the area of TTS.

Keywords:
Malayalam Emphasis (telecommunications) Prosody Computer science Speech synthesis Natural (archaeology) Linguistics Natural language processing Natural language Duration (music) Artificial intelligence Speech recognition History Art Literature

Metrics

4
Cited By
0.78
FWCI (Field Weighted Citation Impact)
210
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
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