V. Sowmya

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About

V. Sowmya is a researcher whose work lies at the intersection of speech processing, affective computing, and natural language processing, with a particular focus on low-resource languages. Her major contribution is pioneering speech emotion recognition (SER) for Tamil language speakers, a domain where data scarcity and linguistic complexity pose significant challenges. In her most cited work, "Speech Emotion Recognition for Tamil Language Speakers" (2020, 11 citations), she developed and evaluated models capable of detecting emotional states—such as happiness, sadness, anger, and neutrality—from acoustic features in Tamil speech. This research is notable for addressing the cultural and phonetic nuances of Tamil, offering a foundation for emotion-aware systems in regional language interfaces, mental health monitoring, and human-computer interaction. By bridging the gap between mainstream SER research and underrepresented languages, Sowmya’s work has practical implications for inclusive technology design. Her impact is reflected in the growing interest in her methods, which serve as a benchmark for subsequent studies in Dravidian language emotion recognition. Through this focused contribution, she has established herself as a key voice in advancing affective computing for linguistic diversity.