DocumentCode :
3289434
Title :
Realization of Isolated-words Speech Recognition System
Author :
Wenxia, Ren ; Huili, Zhang ; Wenzhe, Lv
Author_Institution :
Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
353
Lastpage :
355
Abstract :
With the development of speech recognition technology, there are many speech recognition systems in the world. A non-specific person, small vocabulary, isolated word speech recognition system has been studied in this article. In software the endpoint detection and the adaptive speech recognition arithmetic were used. And at the same time, the TMS320VC5402 is the core of the hardware design. The experimental results show that this system has many advantages such as high recognition precision, high speed and etc. The speech recognition rate rises up to 96%.
Keywords :
digital signal processing chips; edge detection; hidden Markov models; speech recognition; DSP; TMS320VC5402; adaptive speech recognition arithmetic; endpoint detection; hardware design; hidden Markov model; isolated-words speech recognition system; small vocabulary; Circuits; Speech recognition; DSP; Endpoint detection; Hidden Markov model; adaptive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3614-9
Type :
conf
DOI :
10.1109/PACCS.2009.165
Filename :
5232359
Link To Document :
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