This paper presents the analysis of affective speech of human for fatigue detection. Experimental results revealed that, there is a dependence of fatigue on human voice [3]. If a person is carrying fatigue or feeling depressed, then it is clearly reflected from his speech. Current research work on fatigue detection is based on normal human speech. This paper analyses the advantages of affective speech for precise determination of the state of fatigue. The analysis is carried out on the basis of various features such as fundamental frequency, formant frequencies, cepstrum, short-time energy etc.
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