Denoising of Speech Signal using Deep Learning
Speech is the primary vocalized form of natural speech. Speaking is simple, hands-free, quick, and doesn’t require any technological expertise. Speech recognition software makes it easy and comfortable for people to communicate with computers. A speech recognition system enabled this. Speech denoising using deep learning involves using neural networks to eliminate destortion from input signals, preserving the clarity of the speech. For this task, deep learning models such as CNNs or RNNs are commonly used.
Authors
- Abhijeet Dada Mote
- Madhavarapu Chandan (ORCID: https://orcid.org/0000-0002-5756-2325)
- Priyanka Wani
- Sudhanshu Uttarwar
- Vandana Katarwar
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icisaa62385.2024.10828994
- Primary Topic
- Speech and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00