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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 301–350 of 982 papers

TitleStatusHype
Target Speech Extraction with Conditional Diffusion Model—0
Efficient Monaural Speech Enhancement using Spectrum Attention Fusion—0
SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays—0
PCNN: A Lightweight Parallel Conformer Neural Network for Efficient Monaural Speech Enhancement—0
The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss FunctionsCode0
Single Channel Speech Enhancement Using U-Net Spiking Neural NetworksCode0
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations—0
MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech EnhancementCode1
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs—0
Low bit rate binaural link for improved ultra low-latency low-complexity multichannel speech enhancement in Hearing Aids—0
Noise-aware Speech Enhancement using Diffusion Probabilistic ModelCode1
Audio-Visual Speech Enhancement Using Self-supervised Learning to Improve Speech Intelligibility in Cochlear Implant Simulations—0
Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition—0
Disentanglement in a GAN for Unconditional Speech SynthesisCode1
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement—0
Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement—0
Variance-Preserving-Based Interpolation Diffusion Models for Speech EnhancementCode1
Unsupervised speech enhancement with deep dynamical generative speech and noise models—0
Audio-Visual Speech Enhancement With Selective Off-Screen Speech Extraction—0
Efficient Encoder-Decoder and Dual-Path Conformer for Comprehensive Feature Learning in Speech Enhancement—0
Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement—0
A Mask Free Neural Network for Monaural Speech EnhancementCode1
On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings—0
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement—0
Influence of Lossy Speech Codecs on Hearing-aid, Binaural Sound Source Localisation using DNNs—0
On Crowdsourcing-design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms—0
Audio-Visual Speech Enhancement with Score-Based Generative Models—0
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model—0
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint ModelsCode1
Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement through Knowledge Distillation—0
Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss—0
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge—0
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase SpectraCode2
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders—0
Diffusion-Based Mel-Spectrogram Enhancement for Personalized Speech Synthesis with Found DataCode1
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker ConditionsCode1
Integrating Uncertainty into Neural Network-based Speech EnhancementCode1
Deep Multi-Frame Filtering for Hearing AidsCode4
DeepFilterNet: Perceptually Motivated Real-Time Speech EnhancementCode4
Diffusion-based Signal Refiner for Speech Separation—0
All Information is Necessary: Integrating Speech Positive and Negative Information by Contrastive Learning for Speech Enhancement—0
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling—0
Array Configuration-Agnostic Personal Voice Activity Detection Based on Spatial Coherence—0
The future of hearing aid technology—0
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance FieldsCode2
Wav2code: Restore Clean Speech Representations via Codebook Lookup for Noise-Robust ASR—0
Attention-based Speech Enhancement Using Human Quality Perception Modelling—0
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI—0
Transformers in Speech Processing: A Survey—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