关键词: 语音识别, 脉冲耦合神经网络, 谱减法

Abstract: For speaker dependent speech recognition, noise can seriously affect to the extraction of features, thus leads to low speech recognition rate. To address the issue, this paper applies spectral subtraction for de-noising. Based on the visualized features of speech spectrogram, the pulse coupled neural network is used to extract the feature parameters for the recognition system. Experiment results show that the proposed method can preferably reduce the noises and achieve a significantly improved recognition rate for a speaker dependent recognition task.

Key words: speech recognition, pulse coupled neural network, spectral subtraction