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
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;
Conference_Titel :
Communications and Information Technologies (ISCIT), 2011 11th International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1294-4
DOI :
10.1109/ISCIT.2011.6092186