DocumentCode
2509996
Title
Realization of embedded speech recognition module based on STM32
Author
Qu, Qinglin ; Li, Liangguang
Author_Institution
Sch. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
fYear
2011
fDate
12-14 Oct. 2011
Firstpage
73
Lastpage
77
Abstract
Speech recognition is the key to realize man-machine interface technology. In order to improve the accuracy of speech recognition and implement the module on embedded system, an embedded speaker-independent isolated word speech recognition system based on ARM is designed after analyzing speech recognition theory. The system uses DTW algorithm and improves the algorithm using a parallelogram to extract characteristic parameters and identify the results. To finish the speech recognition independently, the system uses the STM32 series chip combined with the other external circuitry. The results of speech recognition test can achieve 90%, and which meets the real-time requirements of recognition.
Keywords
embedded systems; speech recognition; ARM; DTW algorithm; STM32 series chip; dynamic time warping; embedded speaker-independent isolated word speech recognition system; embedded system; man-machine interface technology; Algorithm design and analysis; Hardware; Heuristic algorithms; Hidden Markov models; Speech; Speech processing; Speech recognition; DTW; STM32; embedded system; speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2011 11th International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4577-1294-4
Type
conf
DOI
10.1109/ISCIT.2011.6092186
Filename
6092186
Link To Document