Comparison of the Wavelet and Short Time Fourier Transforms for Spectral Analysis of Speech Signals
نویسندگان
چکیده
In mixtures of speech signals the energy content of the components of the mixture is important and determine the structure of the mixture. Energy contents of signals are better shown when time-frequency or time-scale planes are used. In this paper we present a comparison of wavelet transform (WT) and short time Fourier Transform (STFT) in spectral analysis of speech signals. We will show in wavelet domain, speech signals are very uncorrelated and sparsity of signal is increased. Keywords—STFT, WT, uncorrelated, sparsity, ICA
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