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

Showing 751800 of 982 papers

TitleStatusHype
Can We Trust Deep Speech Prior?0
A Study of Incorporating Articulatory Movement Information in Speech Enhancement0
UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition0
Phase Aware Speech Enhancement using Realisation of Complex-valued LSTM0
A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement0
Speech enhancement aided end-to-end multi-task learning for voice activity detection0
Multi-Channel Speaker Verification for Single and Multi-talker Speech0
The HUAWEI Speaker Diarisation System for the VoxCeleb Speaker Diarisation Challenge0
BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks0
Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks0
Investigating Cross-Domain Losses for Speech Enhancement0
Non-intrusive speech intelligibility prediction using automatic speech recognition derived measures0
A Model Compression Method with Matrix Product Operators for Speech Enhancement0
A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments0
Tdcgan: Temporal Dilated Convolutional Generative Adversarial Network for End-to-end Speech Enhancement0
A consolidated view of loss functions for supervised deep learning-based speech enhancement0
Correlating Subword Articulation with Lip Shapes for Embedding Aware Audio-Visual Speech Enhancement0
Dense CNN with Self-Attention for Time-Domain Speech Enhancement0
Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition0
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks0
Blind Mask to Improve Intelligibility of Non-Stationary Noisy Speech0
Efficient Low-Latency Speech Enhancement with Mobile Audio Streaming Networks0
Incorporating Broad Phonetic Information for Speech Enhancement0
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression0
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss0
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression0
Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones0
Investigation of Phase Distortion on Perceived Speech Quality for Hearing-impaired Listeners0
Neural Kalman Filtering for Speech Enhancement0
On the Use of Audio Fingerprinting Features for Speech Enhancement with Generative Adversarial Network0
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement0
Unsupervised Sound Separation Using Mixture Invariant Training0
Boosting Objective Scores of a Speech Enhancement Model by MetricGAN Post-processing0
An Iterative Graph Spectral Subtraction Method for Speech Enhancement0
SE-MelGAN -- Speaker Agnostic Rapid Speech Enhancement0
A fully recurrent feature extraction for single channel speech enhancementCode0
Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings0
Phase-aware Single-stage Speech Denoising and Dereverberation with U-NetCode0
Similarity-and-Independence-Aware Beamformer: Method for Target Source Extraction using Magnitude Spectrogram as Reference0
SNR-Based Teachers-Student Technique for Speech Enhancement0
Sub-Band Knowledge Distillation Framework for Speech Enhancement0
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement0
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results0
Sparse Mixture of Local Experts for Efficient Speech EnhancementCode0
Speaker Re-identification with Speaker Dependent Speech Enhancement0
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise0
On the Role of Visual Cues in Audiovisual Speech Enhancement0
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party TranscriptionCode0
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings0
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement0
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Benchmark Results

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