S H Bharathi

Papers

Total Citations

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About

S. H. Bharathi is a researcher at the forefront of speech recognition and optimization algorithms, with a particular focus on enhancing feature selection for digital signal processing. Her most-cited work, "Improving the Performance of Speech Recognition feature selection using Northern Goshawk Optimization" (2022, 9 citations), introduces a novel bio-inspired approach to tackle one of the field's persistent challenges: bridging the gap between machine and human accuracy in speech interpretation. By leveraging the Northern Goshawk Optimization algorithm, Bharathi demonstrates how nature-inspired heuristics can refine feature extraction, significantly boosting recognition performance in noisy or complex acoustic environments. This contribution is especially notable for its practical implications in robotics and human-computer interaction, where robust speech interfaces are critical. While her citation count reflects a growing body of work, the innovative integration of swarm intelligence with speech processing marks her as a promising voice in this interdisciplinary space. Her research not only advances algorithmic efficiency but also underscores the potential of hybrid methodologies to push the boundaries of what automated speech systems can achieve.