Spectral Analysis of Pathological & Normal Speech Signal

Due to nature of jobs, unhealthy social habits people are subjected to risk of voice problem [9]. If there is some neurological disorder then also there is problem of voice disorder. Therefore, voice signal can be a useful tool to diagnose them. The awkwardness of analog equipments has simulated development of digital computer techniques for processing and analysis of pathological speech signal in patients care system. In this paper, normal & pathological speech signals are taken & a system is designed to differentiate normal from abnormal signals. These signals are first preprocessed. Preprocessing techniques involves passing signal through high pass filter, moving average filter (ma), framing & windowing .The windowed signal is given for spectral analysis. In spectral analysis, various methods like logarithmic spectrum, cepstrum, auto correlation of speech signal, spectrogram are applied to differentiate normal & abnormal speech signals. It has been seen that with the above method one can clearly differentiate these signals.