The dyadic wavelet transform can be used to separate out the energy of a signal in various bands. The transform makes use of smoothing functions and wavelet functions that result in a very efficient method of signal decomposition and reconstruction. In this paper wavelet transform techniques are applied to separate out the spectral envelope from a Short Time Fourier Transform of a frame of speech. The results are compared to the spectral envelope estimation using LPC and cepstral methods.