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).
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