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.

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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
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article

Denoising of Speech Signal using Deep Learning

Abhijeet Dada Mote, Madhavarapu Chandan, Priyanka Wani, Sudhanshu Uttarwar et al.
Speech and Audio Processing
article

Denoising of Speech Signal using Deep Learning

Abhijeet Dada Mote, Madhavarapu Chandan, Priyanka Wani, Sudhanshu Uttarwar, Vandana Katarwar
article en

Abstract

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.

Openalex Percentile: Top 72%
Speech and Audio Processing
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Denoising of Speech Signal using Deep Learning — Abhijeet Dada Mote, Madhavarapu Chandan, et al. · (2024) | TGRS Research Map | TGRS