DocumentCode
527882
Title
TBNR: the ThinkIT Broadcast News speech Recognition system
Author
Sun, Yanqing ; Gao, Jie ; Zhou, Yu ; Pan, Fuping ; Zhao, Qingwei ; Yan, Yonghong
Author_Institution
ThinkIT Speech Lab., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
25-27 Aug. 2010
Firstpage
544
Lastpage
548
Abstract
This paper describes the TBNR system, which features at many state-of-the-art technologies of speech recognition, covering the decoder, acoustic modeling, speech recognition features, and etc. By integrating these technologies, several optimizations have been performed to utilize multi-processors resources. Along with models in several typical languages, these systems could be used at once for several applications. API functions are designed in a way that the users not familiar with speech recognition could finish development writing only several lines of code to finish a complete task of speech recognition.
Keywords
application program interfaces; speech recognition; API functions; TBNR system; ThinkIT broadcast news; speech recognition system; Decoding; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Speech recognition; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
Conference_Location
Suzhou, Jiangsu
Print_ISBN
978-1-4244-6334-3
Type
conf
DOI
10.1109/IWACI.2010.5585176
Filename
5585176
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