Paper Info
Title
The development and analysis of a Malay broadcasr news corpus
Abstract
This paper presents our effort in collecting a Malay broadcast news (BN) speech corpus to support our research in Malay LVCSR. The 53 hours corpus is recorded from the TV channels in both Singapore and Malaysia over a 9-month period. To facilitate various researches in LVCSR, besides of orthographic transcription, the corpus provides other metadata such as speaking environment type, speaker identity information, language identity, and topic descriptions. In the orthographic transcription, we also tagged various linguistic phenomena such as disfluencies, code switched words, and proper nouns. We trained an ASR system and achieved a word error rate of 8.5% for anchor speech and 17.1% overall (including reporter and other speakers speech) on 27 hours of test data.
Year
DOI
Venue
2013
10.1109/ICSDA.2013.6709862
O-COCOSDA/CASLRE
Keywords
Field
DocType
audio databases,linguistics,meta data,natural languages,speech processing,speech recognition,asr system,bn speech corpus,malay lvcsr,malay broadcast news speech corpus,malaysia,singapore,tv channels,anchor speech,code switched words,language identity,linguistic phenomena,metadata,orthographic transcription,reporter speech,speaker identity information,speaker speech,speaking environment type,topic descriptions,word error rate,malay,speech corpus,broadcast news
Speech corpus,Speech processing,Orthographic transcription,Speech synthesis,Speech analytics,Malay,Computer science,Speech recognition,Artificial intelligence,Natural language processing,VoxForge,Speech technology
Conference
ISSN
Citations 
PageRank 
2163-3479
0
0.34
References 
Authors
2
8
Name
Order
Citations
PageRank
Tze Yuang Chong193.59
Xiong Xiao228134.97
haihua xu3262.72
Tien-Ping Tan4257.46
pham chaukhoa500.34
Dau-Cheng Lyu612613.54
Eng Siong Chng7970106.33
Haizhou Li83678334.61