audio-20
Speech Enhancement
3260 papers • 126 benchmarks • 313 datasets
Speech Enhancement is a signal processing task that involves improving the quality of speech signals captured under noisy or degraded conditions. The goal of speech enhancement is to make speech signals clearer, more intelligible, and more pleasant to listen to, which can be used for various applications such as voice recognition, teleconferencing, and hearing aids. ( Image credit: A Fully Convolutional Neural Network For Speech Enhancement )
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in speech-enhancement-41
Trend
Dataset
Best Model
Actions
VoiceBank + DEMAND
VoiceBank + DEMAND
Deep Noise Suppression (DNS) Challenge
Deep Noise Suppression (DNS) Challenge
Libraries
iUse these libraries to find speech-enhancement-41 models and implementations
4 papers 1,735
Datasets
No datasets available.
