Research on nonspecific vocabulary speech recognition

In automatic speech recognition, speech problems are related to nonspecific vocabulary, i.e. nonspecific vocabulary speech recognition. In this paper, some research on the algorithm for nonspecific vocabulary speech recognition has been done. In order to get excellent recognition result, the breadth-first dynamic time-warping algorithm is set forth and implemented. The algorithm gives more considerations on breadth of search, therefore, it avoids being trapped in local minimum point. Because no specific vocabulary is given, it is impossible to apply statistic method in pattern recognition, and the model match method is the only choice. Due to the consideration about recognition ratio, the method of fuzzy pattern recognition has been adopted The classification of different pattern is based on degrees of membership of these patterns, and the degrees of membership is calculated according to the accumulated distance between the recognized order of speech vector and the order of speech vector in speech model base