Non-uniform unit selection using fuzzy ARTMAP for memory based Malayalam TTS

Thomas, Neethu; Gokul, P; Thomas, Crisil; Gopinath, Deepa P.

doi:10.1109/raics.2015.7488417

2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS) 2015

DOI: 10.1109/raics.2015.7488417

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Non-uniform unit selection using fuzzy ARTMAP for memory based Malayalam TTS

Neethu Thomas¹,

P Gokul²,

Crisil Thomas³

et al.

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2022

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

Jasir

Balakrishnan

2022

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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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.

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

Jasir

Balakrishnan

2022

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

View full text Add to dashboard Cite

show abstract

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Non-uniform unit selection using fuzzy ARTMAP for memory based Malayalam TTS

Cited by 1 publication

References 9 publications

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

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

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