Selection of the best wavelet base for speech signal
Yan Long, Lin Gang, Guo An · 2005
In this paper a new method is proposed for choosing the best wavelet base for speech signals. The wavelets of Haar, Daubechies, Meyer, biorthogonal, coiflets, and symlets are used for speech signals. The wavelet decomposition is used to decompose speech signals into five levels. The low-frequency part of the signal was reconstructed. By calculating the maximum error and mean error of the reconstructed signal, the results show that the Haar wavelet is not suitable for speech signals and Dmey is the best wavelet base for speech signals.