MASS: A Malay language LVCSR corpus resource

Author

Tan, Tien-Ping ; Xiao, Xiong ; Tang, Enya Kong ; Chng, Eng Siong ; Li, Haizhou

Author_Institution

Sch. of Comput. Sci., Univ. Sains Malaysia (USM), Minden, Malaysia

fYear

2009

Firstpage

25

Lastpage

30

Abstract

This paper presents the development of the speech, text and pronunciation dictionary resources required to build a large vocabulary speech recognizer for the Malay language. This project is a collaboration project among three universities: USM, MMU from Malaysia and NTU from Singapore. The Malay speech corpus consists of read speech (speaker independent/ dependent and accent independent/ dependent) and broadcast news. To date, 90 speakers have been recorded which is equal to a total of nearly 70 hours of read speech, and 10 hours of broadcast news from local TV stations in Malaysia was transcribed. The text corpus consists of 700Mbytes of data extracted from Malaysia´s local news Web pages from 1998-2008 and a rule based G2P tool is develop to generate the pronunciation dictionary.

Keywords

natural language processing; speech recognition; MASS; Malay language LVCSR corpus resource; broadcast news; local news Web pages; pronunciation dictionary resources; read speech; rule based G2P tool; vocabulary speech recognizer; Collaboration; Data mining; Dictionaries; Educational institutions; Natural languages; Speech recognition; TV broadcasting; Text recognition; Vocabulary; Web pages;

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.2009.5278382

Filename

5278382