M Naveenkumar

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

M Naveenkumar is a researcher focused on the intersection of human-computer interaction (HCI) and affective computing, with a particular emphasis on speech emotion recognition. His most-cited work, "Audio based Emotion Detection and Recognizing Tool Using Mel Frequency based Cepstral Coefficient" (2019), has garnered 5 citations and addresses a critical challenge in HCI: enabling machines to interpret human emotional states from speech. By leveraging Mel Frequency Cepstral Coefficients (MFCCs), a standard feature in audio processing, Naveenkumar developed a tool capable of tracking emotional traces in real-time, with potential applications in service sectors, classrooms, and other interactive environments. This contribution highlights his ability to bridge signal processing techniques with practical, human-centered technologies. While his citation count reflects an emerging career, his work underscores the growing importance of emotion-aware systems in enhancing mutual human-machine interaction. Naveenkumar’s research offers a foundation for future studies in affective computing, particularly in developing accessible tools for emotional analysis in everyday contexts.