Papers
1
Total Citations
84
H-Index
1
About
A Prathik is a prominent researcher in the field of speech signal processing and affective computing, with a primary focus on speech emotion recognition. Their most significant contribution is the development of a novel fusion technique that combines Mel Frequency Cepstral Coefficients (MFCCs) and Gammatone Frequency Cepstral Coefficients (GFCCs) for robust emotion detection from speech. This work, published in 2021 and garnering 84 citations, leverages a deep Convolutional Recurrent Neural Network (C-RNN) architecture to effectively capture both spectral and temporal features, significantly improving recognition accuracy over single-feature approaches. By integrating these complementary acoustic features, Prathik has advanced the state-of-the-art in human-computer interaction, enabling more natural and empathetic AI systems. Their research has direct applications in mental health monitoring, virtual assistants, and customer service analytics. With a growing citation impact, A Prathik continues to shape the future of emotion-aware technology, demonstrating how deep learning can bridge the gap between raw audio signals and human emotional states.
Research Focus
Key Achievements
Top Papers
- 1