Abstract：Pitch frequency trajectories can more truly reflect the tone characteristics of Mandarin. It is a better way to identify tone by identifying different pitch trajectories. According to the theory of biomimetic pattern recognition, an improved tone recognition algorithm was proposed. It used Iterative Self-Organizing Data Analysis Techniques Algorithm (ISODATA) to find centers of coverage areas, and multi-weight neural network to achieve coverage for each cluster center. The experimental results show that in the case of a small sample, the proposed algorithm can get a higher recognition rate than that of Hidden Markov model (HMM) and Support Vector Machine (SVM).
2010, Vol. 30 
