A STUDY OF ACOUSTIC FEATURES PATTERN OF EMOTION EXPRESSION FOR HINDI SPEECH

Emotion is an affective state of consciousness that involves feeling and plays a significant role in communication. There are objectively measurable voice parameters at physiological, articulatory - phonetics and acoustic levels that reflect currently experiencing affective emotional state of a person. Measurements at the physiological and articulatory-phonetics levels are invasive and require specialized equipments. Acoustic parameters of emotion expression can be obtained unremarkably from speech recording that allow speech emotion analysis and speaker’s emotion recognition inferences and hold important prospects for interdisciplinary research on emotional speech. In present study we analyzed feature pattern of acoustic parameters including pitch, duration, intensity and Formants based on the emotional speech sentences in Hindi classified according to auditory impressions and emotion based speaker identification system. Six speakers of different age group were chosen and twenty sample sentences in Hindi were recorded in neutral and four types of emotions i.e. Anger, Happiness, Sadness and surprise. We first conducted a listening test of sample sentences to identify speaker’s emotion based on auditory impressions. Then speaker’s emotion identification of sample sentences was done using Mel Frequency Cepestral Coefficient and Vector Quantization techniques and subsequently PRAAT software package was used to analyze feature pattern of acoustic parameters for sample sentences identified correctly by human and machine recognizer.

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