Basanta Kumar Swain

Papers

Total Citations

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About

Basanta Kumar Swain is a researcher whose work lies at the intersection of speech processing, emotion recognition, and human-computer interaction, with a particular focus on Indian languages. His most cited paper, "Emotion Recognition using Fuzzy K-Means from Oriya Speech" (2011, 15 citations), addresses a fundamental challenge in human-machine communication: the difficulty machines face in interpreting the non-verbal emotional cues that make human speech intelligible. By applying fuzzy K-means clustering to Oriya speech, Swain pioneered methods for machines to detect emotions, bridging the gap between human expression and machine understanding. His work "Double ended speech enabled system in Indian travel & tourism industry" (2013, 2 citations) further demonstrates his commitment to practical applications, developing a voice-enabled system that accepts voice queries and delivers spoken responses in Indian languages for the travel domain. This system integrates automatic speech recognition and text-to-speech technologies, showcasing Swain's ability to create functional, culturally relevant tools. Though his citation counts are modest, his contributions are significant for advancing speech-based interfaces in under-resourced Indian languages, making technology more accessible to diverse populations.