Design and development of phonetically rich Urdu speech corpus

Author

Raza, Agha Ali ; Hussain, Sannad ; Sarfraz, Huda ; Ullah, Inam ; Sarfraz, Zahid

Author_Institution

NUCES, Nelson, BC, Canada

fYear

2009

Firstpage

38

Lastpage

43

Abstract

Phonetically rich speech corpora play a pivotal role in speech research. The significance of such resources becomes crucial in the development of Automatic Speech Recognition systems and Text to Speech systems. This paper presents details of designing and developing an optimal context based phonetically rich speech corpus for Urdu that will serve as a baseline model for training a Large Vocabulary Continuous Speech Recognition system for Urdu language.

Keywords

speech recognition; speech synthesis; Urdu language; automatic speech recognition systems; baseline model; large vocabulary continuous speech recognition system; optimal context; phonetically rich Urdu speech corpus; phonetically rich speech corpora; phonetically rich speech corpus; speech research; text to speech systems; Automatic speech recognition; Context modeling; Loudspeakers; Natural languages; Speech analysis; Speech processing; Speech recognition; Speech synthesis; Vocabulary; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Database and Assessments, 2009 Oriental COCOSDA International Conference on

Conference_Location

Urumqi

Print_ISBN

978-1-4244-4400-7

Electronic_ISBN

978-1-4244-4400-7

Type

conf

DOI

10.1109/ICSDA.2009.5278380

Filename

5278380