European Journal of Computer Science and Information Technology (EJCSIT)

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A Text-To-Speech Synthesis for Marathi Language Using Festival & Festvox

Abstract

This research paper describes the Impalement of the first, usable, Marathi Text to Speech system for Maharashtra Marathi using the open source Festival TTS engine. Besides that, this research paper also discusses a few practical applications that use this system. This system is developed using di-phone concatenation approach in its waveform generation phase. Construction of a di-phone database and implementation of the natural language processing modules are described. Natural language processing modules include text processing, tokenizing and grapheme to phoneme (G2P) conversion that were written in Festival’s format. Finally, a test was conducted to evaluate the intelligibility of the synthesized speech.

Keywords: Hidden-Markov-Model (HMM), Marathi HTS TTS, Marathi Speech Synthesis, Text-To-Speech (TTS), Unit Selection, di-phone, speech synthesis

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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