Title :
Based on Artificial Neural Networks for voice recognition word segment
Author :
Yang, Chenghui ; Yang, Weixin ; Wang, Shuwen
Author_Institution :
Coll. of Electr. Eng., Northwest Univ. for Nat., Lanzhou, China
Abstract :
Speech recognition is to study so that the machine can accurately hear the voice of the contents of people´s problems, that is, accurate identification of words. Since the 90´s it has been the focus of speech recognition has shifted to large vocabulary, continuous speech, speaker-up, man-machine voice communication has become a research focus. Use one kinds of arithmetic to study speech recognition: Dynamic Time Warping (DTW). Build a basic test platform of speech recognition using DTW.
Keywords :
neural nets; speech recognition; artificial neural network; dynamic time warping; speech recognition; voice recognition; word segment; Artificial neural networks; Computer languages; Mel frequency cepstral coefficient; Speech; Speech processing; Speech recognition; ANN; Dynamic Time Warping; LPC; LPCC; MATLAB; MFCC; speech recognition;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014920