Comparative Study of Pairwise Classifications by ML and NN on Unvoiced Segments in Speech Sample
Suphakthinee Thongdee, Siwat Suksri, Thaweesak Yingthawornsuk · 2012
This paper shows the experimental results supporting the quantitative link between acoustical properties extracted from speech signal and severe level of depression. The data acquisition and experiment have been carried out from two clinically categorized groups of females with depression and remission. The mel-scale cepstral coefficients from the sixteenth-order triangular filter bank were extracted and used in pairwise classification based on ML and NN. Results of classification comparatively show the classifier's performance in correctly separating two classes at 55% and 52% when testing ML with means and SD's of MFCC in voiced speech. While NN provides higher 61% from classifying MFCC of unvoiced speech. In overall, 64% was obtained from ML classifying SD's of MFCC from unvoiced speech. LINICAL depression is the psychiatric disorder which can lead to the risk of suicide in person who has experienced it recursively without taking the treatment. This type of emotional illness has been popularly studied and reported to be the prominent precursor of the suicidal risk in human and suicide is the public health problem with increasing rate every year, and has an obvious impact on social, healthcare, life living and even economic growth. Therefore, preventing suicide is the most important task and has to be proceeded in earlier time by screening persons for depression and admitting that depressed person who may or may not have severe symptom of illness to the treatment program. The major objective of this study is to attempt to investigate the relation between the acoustical properties of speech and the severity of mental states in speakers who were clinically diagnosed for depression or suicidal risk by psychiatrists. The formerly experimental studies have been proposed that the acoustical parameters estimated from speech signal can be used in observing the affection on recognizing pattern and assessing the degree of mental severity in depressive speakers.