FUZZY ARTMAP在三字词声调识别中的应用

Application of fuzzy artmap for tone recognition of Chinese trisyllabic word

三字词音节声调模式具有连续语音中音节声调模式的特征,声调的提取和识别远较孤立字困难。采用小波变换方法提取语音基音,用Fuzzy ARTMAP神经网络进行声调识别,获得了比BP网络更好的实验结果。分析了仿真参数对识别结果的影响,讨论了Fuzzy ARTMAP神经网络中的过拟合问题,给出了一种基于Fuzzy AR-TMAP神经网络的三字词声调识别方法。

Tone extraction and recognition of trisyllabic word is more difficult than that of isolated word, because it holds the characteristic of syllable in continuous speech. Paper pitch is detected by wavelet transform. Tone recognition is based on Fuzzy ARTMAP, so higher recognition rate than BP neural networks is obtained. Influence of simulation parameters on recognition rate is analyzed. The so-called overfitting problem is discussed. And a tone recognition method for Chinese trisyllabic word using simplified fuzzy ARTMAP is proposed.