Radhika Subramanian | Speech Processing | Women Researcher Award Posted on 13/02/202513/02/2025 by sciencefather Dr. Radhika Subramanian | Speech Processing | Women Researcher Award Profile Googleacholar Education She is currently pursuing a PhD at Anna University, Chennai, with an expected completion in 2025. She obtained her Master of Engineering in Communication Systems from B.S. Abdur Rahman Crescent Engineering College, Chennai, achieving 82.3% in the academic years 2007-2009. Prior to that, she completed her Bachelor of Engineering in Electronics and Communication Engineering from Kanchi Pallavan Engineering College, Kanchipuram, affiliated with Anna University, securing 84% from 2003 to 2007. She completed her Higher Secondary education at S.S.K.V Higher Secondary School, Kanchipuram, with 88% marks from 2001 to 2003, and her Secondary School Leaving Certificate from the same institution, scoring 84% in the year 2000-2001. Work experience As of January 31, 2025, she has a total academic experience of 14 years, 7 months, and 15 days. She has been serving as an Assistant Professor Grade-II at Sri Venkateswara College of Engineering, Sriperumpudur, since June 11, 2010. Prior to this, she worked as a Lecturer at Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, from July 1, 2009, to May 7, 2010, gaining 10 months of experience. Her cumulative teaching experience amounts to 14 years, 17 months, and 15 days. AREA OF INTEREST Data Communication and Networking Satellite communication Signal Processing Machine Learning Publication Radhika, S & Prasanth, A 2024, „An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm‟, Circuits, Systems, and Signal Processing, vol. 43, pp. 2477–2506, ISSN: 1531-5878,DOI: 10.1007/s00034-023-02571-4, Impact Factor: 2.3. Radhika, S & Prasanth, A 2024, „An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm‟, Circuits, Systems, and Signal Processing, vol. 43, pp. 2477–2506, ISSN: 1531-5878,DOI: 10.1007/s00034-023-02571-4, Impact Factor: 2.3. A Survey of Human Emotion Recognition Using Speech Signals: Current Trends and Future Perspectives R Subramanian, P Aruchamy Micro-Electronics and Telecommunication Engineering: Proceedings of 6th
Dr. Radhika Subramanian | Speech Processing | Women Researcher Award Profile Googleacholar Education She is currently pursuing a PhD at Anna University, Chennai, with an expected completion in 2025. She obtained her Master of Engineering in Communication Systems from B.S. Abdur Rahman Crescent Engineering College, Chennai, achieving 82.3% in the academic years 2007-2009. Prior to that, she completed her Bachelor of Engineering in Electronics and Communication Engineering from Kanchi Pallavan Engineering College, Kanchipuram, affiliated with Anna University, securing 84% from 2003 to 2007. She completed her Higher Secondary education at S.S.K.V Higher Secondary School, Kanchipuram, with 88% marks from 2001 to 2003, and her Secondary School Leaving Certificate from the same institution, scoring 84% in the year 2000-2001. Work experience As of January 31, 2025, she has a total academic experience of 14 years, 7 months, and 15 days. She has been serving as an Assistant Professor Grade-II at Sri Venkateswara College of Engineering, Sriperumpudur, since June 11, 2010. Prior to this, she worked as a Lecturer at Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, from July 1, 2009, to May 7, 2010, gaining 10 months of experience. Her cumulative teaching experience amounts to 14 years, 17 months, and 15 days. AREA OF INTEREST Data Communication and Networking Satellite communication Signal Processing Machine Learning Publication Radhika, S & Prasanth, A 2024, „An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm‟, Circuits, Systems, and Signal Processing, vol. 43, pp. 2477–2506, ISSN: 1531-5878,DOI: 10.1007/s00034-023-02571-4, Impact Factor: 2.3. Radhika, S & Prasanth, A 2024, „An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm‟, Circuits, Systems, and Signal Processing, vol. 43, pp. 2477–2506, ISSN: 1531-5878,DOI: 10.1007/s00034-023-02571-4, Impact Factor: 2.3. A Survey of Human Emotion Recognition Using Speech Signals: Current Trends and Future Perspectives R Subramanian, P Aruchamy Micro-Electronics and Telecommunication Engineering: Proceedings of 6th