Comparative study on vocal cepstral emissions of clinical depressed and normal speakers

The Mel-scale Cepstral Coefficients of the female speakers´ speech sample clinically categorized into depressed and remitted speech groups are computationally estimated using the 16-triangular filter bank, and consequently taken to represent for input vector to selected classifier. The statistical measures such as the Fisher´s discrimination and the separation power ranking calculation are employed on the extracted feature set for observing on their descriptive statistics, probabilities, and discriminant scores. The higher-order cepstral coefficients reveal the significant difference in term of class separation between depressed and remitted speech samples. The results of classification are supportive of the prior statistical measures evaluated on the cepstral acoustic parameters which imply the MFCCs capable of being potential indicator of depression symptom in female speakers compared to normal females.