Appropriate Windowing in Speech Parameter Extraction

This study discusses the difficulties of short term analysis of speech signals and shows that appropriate windowing is very crucial for obtaining reliable spectra. Once windowing is performed properly, it reveals clearly Formant information. In this paper we dealt with the effect of windowing in extraction of speech parameter. Choosing a appropriate window consists of selecting the type, length and placement of window. Ideally, the window spectrum would have a narrow main lobe and small side lobes. We design band pass FIR filters for estimation of speech parameters using window methods & compare several standard windows in terms of the parameters that reflect the effect of resolution degradation due to the mainlobe, leakage due to the near side lobe. In this paper attempt was carried out mainly to deal with the effect of side lobe attenuation and optimal side lobe attenuation for standard window function used in short term analysis has been proposed.