Design of On-Line Isolated Word Recognition Systems

• Main Authors: Bo-Ruei Huang, 黃柏叡
• Other Authors: Yo-Ping Chen
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/85752460824994985995

碩士 === 國立交通大學 === 電機與控制工程系 === 90 === The major concept in this thesis is about the design of on-line isolated words recognition systems. By combining with the traditional hidden Markov model and learning vector quantization, not only the recognition accuracy will increase but also computations will decrease. Therefore, the reaction time of the speech recognition will also decrease. By using the learning function to adjust directly the on-line database with the misclassified patterns, it will be fast and useful to improve the recognition accuracy. For the data training, the Viterbi algorithm has been used to find the best stat sequence for speaker-independent. And the k-means algorithm has been also used to cluster the mean vectors and variance vectors in each state in order to decrease the number of models in our database. Besides, the connected digits recognition will be introduced conceptually. The one-state algorithm based on the dynamic time warping is used to recognize the connected digits. However, the models of the database will influence greatly the recognition result by using the one-state algorithm. So the training data must be chosen carefully.