Speech recognition of master's thesis
2016-08-23
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First, the speech signal pre-processing and character extraction issues were discussed, and extracted three valid language Characteristic parameters of sound recognition, LPC-cepstrum coefficients-LPC coefficients and the Mel-frequency Cepstral coefficients (MFCC), followed by smoked discusses two commonly used in speech recognition and recognition-DTW based on template matching based on statistics of membrane-type application of HMM in speech recognition, discussed separately individual models of training and recognition
Law of HMM in the practical application of some specific issues have also been discussed; Finally, conventional HMM Shows some improvement methods, including explicitly state presence and the random segmentation model (SM), focusing on SM
Training in speech re
Law of HMM in the practical application of some specific issues have also been discussed; Finally, conventional HMM Shows some improvement methods, including explicitly state presence and the random segmentation model (SM), focusing on SM
Training in speech re
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硕士论文
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