A new feature in speech recognition based on wavelet transform
Yu Hao, Xiaoyan Zhu · 2002
Due to the excellent ability of dynamically adjusting the observation scope when the analyzing frequency changed, wavelet transform has been successfully applied to the processing of a non-stationary speech signal. We use the wavelet transform (WT) result and combine it with the traditional CEP vector (CEP-WT) to produce a new feature as the front-end output of an auto speech recognition system. Evaluation and experiments of the new feature show that the proposed method can improve the recognition system performance promisingly.