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Speech Enhancement

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. A representative Github project with online demo : ClearerVoice-Studio.

( Image credit: A Fully Convolutional Neural Network For Speech Enhancement )

Papers

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Showing 151–200 of 982 papers

TitleStatusHype
Learning Audio-Visual DereverberationCode1
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral FeaturesCode1
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID DataCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
L3DAS21 Challenge: Machine Learning for 3D Audio Signal ProcessingCode1
Speech Denoising Without Clean Training Data: A Noise2Noise ApproachCode1
MetricGAN+: An Improved Version of MetricGAN for Speech EnhancementCode1
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video ConferencingCode1
A Modulation-Domain Loss for Neural-Network-based Real-time Speech EnhancementCode1
An Investigation of End-to-End Models for Robust Speech RecognitionCode1
CDPAM: Contrastive learning for perceptual audio similarityCode1
Real-time Denoising and Dereverberation with Tiny Recurrent U-NetCode1
Visual Speech Enhancement Without A Real Visual StreamCode1
Group Communication with Context Codec for Lightweight Source SeparationCode1
Speech Denoising with Auditory ModelsCode1
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arraysCode1
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech EnhancementCode1
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-trainingCode1
Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech EnhancementCode1
Self-Attention Generative Adversarial Network for Speech EnhancementCode1
SEANet: A Multi-modal Speech Enhancement NetworkCode1
Improved Lite Audio-Visual Speech EnhancementCode1
A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband SpeechCode1
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile ApplicationCode1
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and SeparationCode1
StoRIR: Stochastic Room Impulse Response Generation for Audio Data AugmentationCode1
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech EnhancementCode1
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal ComponentsCode1
CLC: Complex Linear Coding for the DNS 2020 ChallengeCode1
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial NetworksCode1
A non-causal FFTNet architecture for speech enhancementCode1
Lite Audio-Visual Speech EnhancementCode1
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental LearningCode1
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing AidsCode1
WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech EnhancementCode1
Phonetic Feedback for Speech Enhancement With and Without Parallel Speech DataCode1
Deep Residual-Dense Lattice Network for Speech EnhancementCode1
iSEGAN: Improved Speech Enhancement Generative Adversarial NetworksCode1
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech EnhancementCode1
Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train NetworkCode1
Channel-Attention Dense U-Net for Multichannel Speech EnhancementCode1
Zero-Reference Deep Curve Estimation for Low-Light Image EnhancementCode1
Improving GANs for Speech EnhancementCode1
A Differentiable Perceptual Audio Metric Learned from Just Noticeable DifferencesCode1
Spleeter: A Fast And State-of-the Art Music Source Separation Tool With Pre-trained ModelsCode1
Semi-Supervised Multichannel Speech Enhancement With a Deep Speech PriorCode1
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio ProcessingCode1
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech EnhancementCode1
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance MatricesCode1
Phase-aware Speech Enhancement with Deep Complex U-NetCode1
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All datasetsVoiceBank + DEMANDDeep Noise Suppression (DNS) ChallengeCHiME-3EARS-WHAMEasyComDNS ChallengeVB-DemandExWHAMR!WSJ0 + DEMAND + RNNoiseRealMANVoiceBank+DEMANDDEMAND

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ROSE-CD(PESQ)PESQ (wb)3.99—Unverified
2PESQetarianPESQ (wb)3.82—Unverified
3Mamba-SEUNet L (+PCS)PESQ (wb)3.73—Unverified
4Schrödinger bridge (PESQ loss)PESQ (wb)3.7—Unverified
5SEMamba (+PCS)PESQ (wb)3.69—Unverified
6ZipEnhancer (S, \lamba_6 = 0)PESQ (wb)3.63—Unverified
7PrimeK-NetPESQ (wb)3.61—Unverified
8ZipEnhancer (S, \lamba_6 = 0.2)PESQ (wb)3.61—Unverified
9MP-SENetPESQ (wb)3.6—Unverified
10PCS_CS_WAVLMPESQ (wb)3.54—Unverified
#ModelMetricClaimedVerifiedStatus
1BSRNN-S + MGDSI-SDR-WB21.4—Unverified
2DTLNSI-SDR-WB16.34—Unverified
3Non-Real-Time MultiScale+SI-SDR-WB16.22—Unverified
4ZipEnhancer (M)PESQ-WB3.81—Unverified
5TF-Locoformer (M)PESQ-WB3.72—Unverified
6ZipEnhancer (S)PESQ-WB3.69—Unverified
7MambAttentionPESQ-WB3.67—Unverified
8MP-SENetPESQ-WB3.62—Unverified
9xLSTM-SENetPESQ-WB3.59—Unverified
10BSRNN-S + MRSDPESQ-WB3.53—Unverified
#ModelMetricClaimedVerifiedStatus
1Inter-Channel Conv-TasNetSDR19.67—Unverified
2CA Dense U-Net (Complex)SDR18.64—Unverified
3Dense U-Net (Complex)SDR18.4—Unverified
4Dense U-Net (Real)SDR16.86—Unverified
5U-Net (Real)SDR15.97—Unverified
6Noisy/unprocessedSDR6.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Schrödinger Bridge (PESQ loss)PESQ-WB3.09—Unverified
2SGMSE+PESQ-WB2.5—Unverified
3Demucs v4PESQ-WB2.37—Unverified
4Schrödinger BridgePESQ-WB2.33—Unverified
5Conv-TasNetPESQ-WB2.31—Unverified
6CDiffuSEPESQ-WB1.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ReVISE (ch2)Audio Quality MOS4.19—Unverified
2ReVISE (bf)Audio Quality MOS4.11—Unverified
3Demucs (ch2)Audio Quality MOS2.95—Unverified
4Demucs (bf)Audio Quality MOS2.39—Unverified
5MaxDI (Baseline)PESQ1.17—Unverified
6DAJA (MVDR,HMA,1000) (Overlapped Speech)SDR-4.76—Unverified
#ModelMetricClaimedVerifiedStatus
1ZipEnhancer (M)PESQ-NB4.08—Unverified
2DCCRN-MCPESQ-NB3.21—Unverified
3DCCRN-MPESQ-NB3.15—Unverified
4DCCRNPESQ-NB3.04—Unverified
5RNN-ModulationPESQ-WB2.75—Unverified
#ModelMetricClaimedVerifiedStatus
1MambAttentionESTOI0.8—Unverified
2SEMambaESTOI0.8—Unverified
3xLSTM-SENetESTOI0.8—Unverified
4MP-SENetESTOI0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SepFormerPESQ2.84—Unverified
2DTLNPESQ2.23—Unverified
3UnprocessedPESQ1.83—Unverified
4Non-Real-Time MultiScale+PESQ1.52—Unverified
#ModelMetricClaimedVerifiedStatus
1DCUNet-MCPESQ-NB3.44—Unverified
2DCCRN-MPESQ-NB3.28—Unverified
3DCUNetPESQ-NB3.25—Unverified
#ModelMetricClaimedVerifiedStatus
1CleanMel-L-mapDNSMOS3.82—Unverified
2SpatialNetDNSMOS BAK3.43—Unverified
#ModelMetricClaimedVerifiedStatus
1rose_cd(PESQ )PESQ3.99—Unverified
2ROSE-CDPESQ3.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Wave-U-NetCBAK3.24—Unverified
#ModelMetricClaimedVerifiedStatus
1Audio-Visual concat-refPESQ2.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SE-MelGANAudio Quality MOS3.1—Unverified
#ModelMetricClaimedVerifiedStatus
1DeFT-ANPESQ3.01—Unverified
#ModelMetricClaimedVerifiedStatus
1Audio-Visual concat-refPESQ3.03—Unverified
#ModelMetricClaimedVerifiedStatus
1SepFormerPESQ3.07—Unverified