Abstract: To address the problem that the voice impairment index lacks the analysis and optimization of non-traditional acoustic feature parameters when extracting traditional acoustic feature parameters， this paper proposes an algorithm to optimize the voice impairment index based on ordered proportional dominance logistic regression. Firstly， the spectral flatness is extracted and correlated with the voice impairment index. Secondly， the new equation of voice disorder index is obtained by applying the proportional odds logistic regression method. Finally， a comparison is made between the DSI and the traditional voice disorder index for the samples taken from the database. This paper optimizes the algorithm to broaden the range of values for DSI. The algorithm in this paper is applied to the classification of voice disorders. The experimental results show that the algorithm can effectively determine the values of DSI and obtain good classification results quickly.

Key words: acoustic analysis, logistic regression of proportional dominance, voice disorder index, voice class classification, speech recognition