关键词: 声调识别, 仿生模式识别, 聚类, 多权值神经网络, 汉语

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).

Key words: tone recognition, biomimetic pattern recognition, cluster, multi-weight neural networks, Chinese