Title :
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
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;
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
DOI :
10.1109/ICSDA.2009.5278380
