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Development of Kannada Speech Corpus for Continuous Speech Recognition

by Anand H. Unnibhavi, D. S. Jangamshetti
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 53
Year of Publication: 2018
Authors: Anand H. Unnibhavi, D. S. Jangamshetti
10.5120/ijca2018917255

Anand H. Unnibhavi, D. S. Jangamshetti . Development of Kannada Speech Corpus for Continuous Speech Recognition. International Journal of Computer Applications. 179, 53 ( Jun 2018), 1-4. DOI=10.5120/ijca2018917255

@article{ 10.5120/ijca2018917255,
author = { Anand H. Unnibhavi, D. S. Jangamshetti },
title = { Development of Kannada Speech Corpus for Continuous Speech Recognition },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2018 },
volume = { 179 },
number = { 53 },
month = { Jun },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number53/29537-2018917255/ },
doi = { 10.5120/ijca2018917255 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:05.485615+05:30
%A Anand H. Unnibhavi
%A D. S. Jangamshetti
%T Development of Kannada Speech Corpus for Continuous Speech Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 53
%P 1-4
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper presents, development of Kannada speech corpus for speaker independent continuous speech recognition. Speech corpus plays a key role in construction of Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis. The speech corpora is developed for the age group between 21 years to 45 years. Speech corpus for ASR system is developed by collecting text corpus in which data is recorded corresponding to the text corpus followed by Transliteration (phonetic representation of the text corpus) and finally a pronunciation dictionary is developed.

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Index Terms

Computer Science
Information Sciences

Keywords

ASR TTS G2P Speech corpus

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