K. Harika

Papers

Total Citations

H-Index

About

K. Harika is a researcher specializing in speech processing and machine learning, with a particular focus on speech command recognition systems. Her most-cited work, "Performance Analysis of Speech Command Recognition Using Support Vector Machine Classifiers" (2021), has garnered 17 citations, establishing her as a contributor to the field of human-computer interaction. In this study, Harika systematically evaluates the efficacy of Support Vector Machine (SVM) classifiers for recognizing spoken commands, providing critical insights into feature extraction, classification accuracy, and computational efficiency. Her work addresses the growing demand for robust, real-time voice-controlled interfaces in smart devices and assistive technologies. By benchmarking SVM performance against other machine learning models, Harika’s research offers practical guidelines for optimizing speech recognition pipelines, making it a valuable resource for engineers and researchers developing voice-activated systems. Her contributions are particularly relevant in the context of low-resource languages and noise-robust applications. With a clear focus on bridging algorithmic theory and practical deployment, K. Harika continues to advance the accessibility and reliability of speech-based technologies.