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Speech Recognition and Text-to-speech Solution for Vernacular Languages

Authors:
James Tamgno Kouawa
Morgan Richomme
Claude Lishou
Aristide Thomas Mendo’o
Pascal Uriel Elingui
Seraphin D. Oyono Obono

Keywords: Speech Recognition; Speech Synthesis; Wolof

Abstract:
This paper summarizes the work performed to study and develop a model Automatic Speech Recognition (ASR) system and a speech synthesis or Text-To-Speech (TTS) system on keywords of the vernacular language Wolof, respectively based on the open source software toolkits Julius and Festival. Much research has been developed in this area. Our goal is to be the first to develop a model for speech recognition and synthesis in Wolof, and also to create different lexicons and knowledge bases of phonetic, acoustic and lingistic feartures in order to introduce other languages.

Pages: 56 to 63

Copyright: Copyright (c) IARIA, 2011

Publication date: April 17, 2011

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-127-4

Location: Budapest, Hungary

Dates: from April 17, 2011 to April 22, 2011