SOTAVerified

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 601–650 of 982 papers

TitleStatusHype
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems—0
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion—0
Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes—0
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement—0
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement—0
Task-aware Warping Factors in Mask-based Speech Enhancement—0
A Deep Learning Loss Function based on Auditory Power Compression for Speech EnhancementCode1
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR—0
Deep Residual Echo Suppression and Noise Reduction: A Multi-Input FCRN Approach in a Hybrid Speech Enhancement System—0
Complex-valued Spatial Autoencoders for Multichannel Speech EnhancementCode1
A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech EnhancementCode1
Microphone Array Generalization for Multichannel Narrowband Deep Speech EnhancementCode1
Inplace Gated Convolutional Recurrent Neural Network For Dual-channel Speech Enhancement—0
A Study on Speech Enhancement Based on Diffusion Probabilistic ModelCode1
Multitask-Based Joint Learning Approach To Robust ASR For Radio Communication Speech—0
Controlling the Perceived Sound Quality for Dialogue Enhancement with Deep Learning—0
Multi-Task Audio Source SeparationCode1
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy EnvironmentsCode1
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization—0
SoundStream: An End-to-End Neural Audio CodecCode3
TENET: A Time-reversal Enhancement Network for Noise-robust ASRCode1
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
SRIB-LEAP submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing—0
Unsupervised Speech Enhancement using Dynamical Variational Auto-EncodersCode1
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair—0
MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis MethodsCode1
A Flow-Based Neural Network for Time Domain Speech Enhancement—0
DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement—0
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodesCode1
Learning Audio-Visual DereverberationCode1
Deep Interaction between Masking and Mapping Targets for Single-Channel Speech Enhancement—0
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement—0
Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition—0
A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer And Large Scale Synthetic Data—0
Phoneme-Based Ratio Mask Estimation for Reverberant Speech Enhancement in Cochlear Implant Processors—0
An Improved Measure of Musical Noise Based on Spectral Kurtosis—0
Training Speech Enhancement Systems with Noisy Speech Datasets—0
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral FeaturesCode1
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech EnhancementCode0
A time-domain nearfield frequency-invariant beamforming method—0
Dual-Stage Low-Complexity Reconfigurable Speech Enhancement—0
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID DataCode1
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation—0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection—0
Speech Enhancement using Separable Polling Attention and Global Layer Normalization followed with PReLU—0
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
Nonlinear Spatial Filtering in Multichannel Speech Enhancement—0
Comparison of remote experiments using crowdsourcing and laboratory experiments on speech intelligibility—0
L3DAS21 Challenge: Machine Learning for 3D Audio Signal ProcessingCode1
Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement—0
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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