MASS: A Malay Language LVCSR Corpus Resource
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 Malaysias local news web pages from 1998-2008 and a rule based G2P tool is develop to generate the pronunciation dictionary.
Tien-Ping Tan Xiong Xiao Enya Kong Tang Eng Siong Chng Haizhou Li
School of Computer Science, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia School of Computer Engineering, Nanyang Technological University, Singapore 639798 Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613
国际会议
北京
英文
25-30
2009-08-10（万方平台首次上网日期，不代表论文的发表时间）