Anupam Biswas
Papers
1
Total Citations
6
H-Index
1
About
Anupam Biswas is a researcher whose work lies at the intersection of speech processing, music technology, and artificial intelligence. His contributions are particularly focused on advancing the computational analysis and synthesis of speech and music signals, aiming to bridge the gap between human auditory perception and machine understanding. A key achievement is his edited volume, *Advances in Speech and Music Technology* (2021), which has garnered 6 citations and serves as a foundational resource for researchers exploring novel algorithms and applications in these domains. Through this work, Biswas has helped consolidate emerging trends in acoustic modeling, feature extraction, and intelligent audio systems. His research impacts fields ranging from human-computer interaction to digital musicology, offering practical tools for voice-based interfaces and automated music analysis. By synthesizing complex signal processing techniques with machine learning, Biswas continues to shape how machines interpret and generate sound, making his contributions valuable for students and professionals seeking to innovate in speech and music technology.
Research Focus
Key Achievements
Top Papers
- 1Advances in Speech and Music Technology6 citations · 2021