The comparison of time-frequency analysis methods for speech coding application

The goal of this paper is to compare the performance of two time-frequency decomposition in a context of speech coding. These decompositions are based on wavelet and wavelet frame theory. The main advantages of wavelet frame compared to wavelet are perfect reconstruction, resilience to quantization noise, nearly shift-invariant, symmetry and good time-frequency localization. The evaluation tests reveal that the quality of coded speech using the tight framelets packet transform outperform that of the wavelets packet transform.