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 251–300 of 982 papers

TitleStatusHype
GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling—0
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement—0
Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement—0
Learning-based A Posteriori Speech Presence Probability Estimation and Applications—0
UP-Cycle-SENet: Unpaired Phase-aware Speech Enhancement Using Deep Complex Cycle Adversarial Networks—0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
Speech Enhancement with Overlapped-Frame Information Fusion and Causal Self-AttentionCode0
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids—0
Microphone Array Signal Processing and Deep Learning for Speech Enhancement—0
Multi-modal Speech Enhancement with Limited Electromyography Channels—0
Estimation and Restoration of Unknown Nonlinear Distortion using DiffusionCode0
Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing—0
Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features—0
Neural Directed Speech Enhancement with Dual Microphone Array in High Noise Scenario—0
From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology—0
Scalable Speech Enhancement with Dynamic Channel Pruning—0
Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech EnhancementCode0
Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling—0
Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech—0
Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation—0
TouchTTS: An Embarrassingly Simple TTS Framework that Everyone Can Touch—0
SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation—0
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations—0
Towards Advanced Speech Signal Processing: A Statistical Perspective on Convolution-Based Architectures and its Applications—0
A Neural Denoising Vocoder for Clean Waveform Generation from Noisy Mel-Spectrogram based on Amplitude and Phase Predictions—0
SAV-SE: Scene-aware Audio-Visual Speech Enhancement with Selective State Space Model—0
DCF-DS: Deep Cascade Fusion of Diarization and Separation for Speech Recognition under Realistic Single-Channel Conditions—0
Selective State Space Model for Monaural Speech Enhancement—0
Modulating State Space Model with SlowFast Framework for Compute-Efficient Ultra Low-Latency Speech Enhancement—0
Task-Aware Unified Source Separation—0
Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising—0
Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models—0
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams—0
GAN-Based Speech Enhancement for Low SNR Using Latent Feature Conditioning—0
Using RLHF to align speech enhancement approaches to mean-opinion quality scores—0
FINALLY: fast and universal speech enhancement with studio-like quality—0
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement—0
Diffusion-based Unsupervised Audio-visual Speech Enhancement—0
Restorative Speech Enhancement: A Progressive Approach Using SE and Codec Modules—0
Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods—0
Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds—0
MC-SEMamba: A Simple Multi-channel Extension of SEMamba—0
Towards Sub-millisecond Latency Real-Time Speech Enhancement Models on Hearables—0
An Explicit Consistency-Preserving Loss Function for Phase Reconstruction and Speech Enhancement—0
Self-Supervised Audio-Visual Soundscape Stylization—0
Robust Audio-Visual Speech Enhancement: Correcting Misassignments in Complex Environments with Advanced Post-Processing—0
Speech-Declipping Transformer with Complex Spectrogram and Learnerble Temporal Features—0
Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement—0
Dense-TSNet: Dense Connected Two-Stage Structure for Ultra-Lightweight Speech Enhancement—0
High-Resolution Speech Restoration with Latent Diffusion ModelCode0
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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