Gaurav Meena

Papers

Total Citations

H-Index

About

Dr. Gaurav Meena is a leading researcher at the intersection of affective computing and deep learning, with a primary focus on speech emotion recognition and sentiment analysis. His most impactful work, "Speech Emotion Based Sentiment Recognition using Deep Neural Networks" (2022), has garnered 32 citations for pioneering a robust framework that decodes human emotional states directly from vocal cues. By leveraging deep neural architectures, Dr. Meena addresses the critical challenge of teaching machines to interpret the nuanced emotional subtext in speech—a skill essential for advancing human-computer interaction, mental health monitoring, and empathetic AI systems. His research underscores the importance of moving beyond mere text-based sentiment to capture the rich, paralinguistic features that convey true emotional intent. This work stands as a cornerstone for developing more intuitive and responsive technologies, demonstrating how computational models can bridge the gap between raw audio signals and complex human feelings. Dr. Meena’s contributions are shaping the future of emotionally intelligent systems, making him a key voice in the growing field of speech-based affective computing.