Hemanta Kumar Palo

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Clarity and intelligibility in speech signal demands removal of noise and interference associated with the signal at the source. This poses further challenge when the speech signal is colored with human emotions. In this work, the authors have taken a novel step to enhance the emotional speech signal adaptively before classification. Most popular adaptive(More)
Bio-medical research extends towards human voice and auditory systems day by day. Similarly it helps for the security issues. Emotion analysis and recognition for such purpose is a challenging task. To analyze and recognize, the emotions has been attempted in this piece of work. Initially, Sub-band spectral features have been extracted to characterize high(More)
Emotion recognition from human speech is a challenge for the researchers. It is mostly considered under ideal acoustic conditions. The performance of such system is degraded while there is existence of environmental mismatches between training and testing phases. For robust speech recognition it requires for reduction of redundancy, variability, and(More)
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