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In this paper we propose a technique for spectral envelope estimation usingmaximum values in the sub-bands of Fourier magnitude spectrum (MSASB). Mostother methods in the literature parametrize spectral envelope in cepstraldomain such as Mel-generalized cepstrum etc. Such cepstral domainrepresentations, although compact, are not readily interpretable. Thisdifficulty is overcome by our method which parametrizes in the spectral domainitself. In our experiments, spectral envelope estimated using MSASB method wasincorporated in the STRAIGHT vocoder. Both objective and subjective results ofanalysis-by-synthesis indicate that the proposed method is comparable toSTRAIGHT. We also evaluate the effectiveness of the proposed parametrization ina statistical parametric speech synthesis framework using deep neural networks.

Significance of Maximum Spectral Amplitude in Sub-bands for Spectral  Envelope Estimation and Its Application to Statistical Parametric Speech  Synthesis