A. Rajeswari

Papers

Total Citations

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About

A. Rajeswari is a researcher specializing in speech processing and affective computing, with a particular focus on low-resource languages. Her most cited work, "Speech Emotion Recognition for Tamil Language Speakers" (2020, 11 citations), addresses the critical challenge of developing emotion recognition systems for under-represented languages. This contribution is significant because it provides a foundational dataset and methodology for detecting emotional states—such as anger, happiness, and sadness—from Tamil speech, an area largely overlooked in mainstream research dominated by English and other high-resource languages. By tailoring acoustic feature extraction and classification techniques to the phonetic and prosodic characteristics of Tamil, Rajeswari’s work not only advances the field of cross-lingual emotion recognition but also has practical implications for human-computer interaction, mental health monitoring, and culturally sensitive AI systems. Though her citation count is modest, the paper’s focus on a specific linguistic community highlights her commitment to inclusive and diverse AI research. Rajeswari’s work serves as a valuable resource for students and researchers interested in bridging the gap between speech technology and regional language preservation, demonstrating that impactful contributions can emerge from addressing niche but socially relevant problems.