Low signal-to-noise ratio speech classification with wavelet
Yeguang Huang, Yifen Peng, Wenjing Zhao, Zhong Liang Cao · Journal of Physics Conference Series · 2020
Abstract This paper evaluates the potential of wavelet in low signal-to-noise ratio (SNR) speech classification. A wavelet feature extraction method is proposed, which includes wavelet analysis, wavelet denoising and sliding variance. The potential of wavelet feature extraction method is evaluated on two different datasets with Convolutional Neural Network. The results of our model and comparation show that the performance is significantly improving comparing with other state-of-the-art approaches.