Determination of Harmonic Parameters in Pathological Voices—Efficient Algorithm

The harmonic parameters Autocorrelation, Harmonic to Noise Ratio (HNR), and are related vocal quality, providing alternative measures of the energy a speech signal. They will be used as input resources for an intelligent medical decision support system diagnosis pathology. An efficient algorithm is important when implementing it on low-power devices. This article presents that determines these by optimizing window type length. method comparatively analyzes values algorithm, with different combinations size reference value. Hamming, Hanning, Blackman windows lengths 3, 6, 12, 24 glottal cycles various sampling frequencies were investigated. As result, we present using Hanning length six cycles. mean difference Autocorrelation less than 0.004, HNR 0.42 dB. In conclusion, this allows extraction close values. there no significant effects frequency. However, should cautiously lower rates.