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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 101–150 of 982 papers

TitleStatusHype
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint ModelsCode1
Group Communication with Context Codec for Lightweight Source SeparationCode1
A Study on Speech Enhancement Based on Diffusion Probabilistic ModelCode1
HiFi++: a Unified Framework for Bandwidth Extension and Speech EnhancementCode1
HiFi-Stream: Streaming Speech Enhancement with Generative Adversarial NetworksCode1
A Systematic Comparison of Phonetic Aware Techniques for Speech EnhancementCode1
Hold Me Tight: Stable Encoder-Decoder Design for Speech EnhancementCode1
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancementCode1
Dual-Path Style Learning for End-to-End Noise-Robust Speech RecognitionCode1
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arraysCode1
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodesCode1
Improving Speech Enhancement through Fine-Grained Speech CharacteristicsCode1
A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband SpeechCode1
Improving GANs for Speech EnhancementCode1
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and SeparationCode1
Inference and Denoise: Causal Inference-based Neural Speech EnhancementCode1
AnCoGen: Analysis, Control and Generation of Speech with a Masked AutoencoderCode1
Instantaneous PSD Estimation for Speech Enhancement based on Generalized Principal ComponentsCode1
A light-weight full-band speech enhancement modelCode1
A Deep Learning Loss Function based on Auditory Power Compression for Speech EnhancementCode1
L3DAS21 Challenge: Machine Learning for 3D Audio Signal ProcessingCode1
iSEGAN: Improved Speech Enhancement Generative Adversarial NetworksCode1
A Lightweight and Real-Time Binaural Speech Enhancement Model with Spatial Cues PreservationCode1
Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-SynthesisCode1
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
Learning Audio-Visual DereverberationCode1
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy EnvironmentsCode1
Multi-Task Audio Source SeparationCode1
A non-causal FFTNet architecture for speech enhancementCode1
Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic ModelsCode1
Diffusion-based Generative Speech Source SeparationCode1
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech EnhancementCode1
DeFTAN-II: Efficient Multichannel Speech Enhancement with Subgroup ProcessingCode1
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found DataCode1
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech EnhancementCode1
MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis MethodsCode1
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithmCode1
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker ConditionsCode1
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech EnhancementCode1
AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band ModelingCode1
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionCode1
Adaptive Convolution for CNN-based Speech Enhancement ModelsCode1
MetricGAN+: An Improved Version of MetricGAN for Speech EnhancementCode1
MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech EnhancementCode1
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker DetectionCode1
An Investigation of End-to-End Models for Robust Speech RecognitionCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
MANNER: Multi-view Attention Network for Noise ErasureCode1
Deep Residual-Dense Lattice Network for Speech EnhancementCode1
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain FeaturesCode1
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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