Congenital amusics, or "tone-deaf" individuals, show difficulty in perceiving and producing small pitch differences. While amusia has marked effects on music perception, its impact on speech perception is less clear. Here we test the hypothesis that individual differences in pitch perception affect judgment of emotion in speech, by applying low-pass filters to spoken statements of emotional spe...

In making the Machines Intelligent, and enable them to work as human, Speech recognition is one of most essential requirement. Human Language conveys various types information such energy, pitch, loudness, rhythm etc., in sound, speech its context gender, age emotion. Identifying emotion from a pattern challenging task useful solution especially era widely developing systems with digital assist...

This paper deals with speech emotion analysis within the context of increasing awareness on wide application potential of affective computing. Unlike the most of works in the literature which mainly rely on classical frequency and energy based features along with a single global classifier for emotion recognition, we propose in this paper some new harmonic and Zipf based features for better spe...

In this paper, a Mandarin speech based emotion classification method is presented. Five primary human emotions including anger, boredom, happiness, neutral and sadness are investigated. For speech emotion recognition, we select 16 LPC coefficients, 12 LPCC components, 16 LFPC components, 16 PLP coefficients, 20 MFCC components and jitter as the basic features to form the feature vector. Two tex...

We present a technique for two-stream processing of speech signals for emotion detection. The first stream recognises emotion from acoustic features while the second stream recognises emotion from the semantics of the conversation. A probabilistic measure is derived for each of the individual streams and the emotion category from the two streams is recognised. The output of the two streams is c...

This article address a novel emotion recognition system based on the Truncated Gaussian mixture model .The proposed system has been experimented over an gender independent emotion recognition database In the recent past, many models have been listed in the literature based on the emotion recognition, but these papers are more focused towards the speech, ignoring the emotion of the speaker at th...