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 501–525 of 982 papers

Title	Date	Tasks	Status	Hype
Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation	Apr 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation	Apr 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Multiple Confidence Gates For Joint Training Of SE And ASR	Apr 1, 2022	Robust Speech RecognitionSpeech Enhancement	—Unverified	0
Perceptual Contrast Stretching on Target Feature for Speech Enhancement	Mar 31, 2022	Speech Enhancement	CodeCode Available	1
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping	Mar 31, 2022	DenoisingSpeech Enhancement	—Unverified	0
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain	Mar 31, 2022	Speech Enhancement	CodeCode Available	1
Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis	Mar 31, 2022	Speech Enhancement	CodeCode Available	1
Phase-Aware Deep Speech Enhancement: It's All About The Frame Length	Mar 30, 2022	AllSpeech Enhancement	—Unverified	0
CMGAN: Conformer-based Metric GAN for Speech Enhancement	Mar 28, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	2
Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition	Mar 28, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Speech-enhanced and Noise-aware Networks for Robust Speech Recognition	Mar 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement	Mar 24, 2022	Audio GenerationBandwidth Extension	CodeCode Available	1
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data	Mar 23, 2022	Speech Enhancement	—Unverified	0
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement	Mar 23, 2022	Speech Enhancement	CodeCode Available	2
Joint Noise Reduction and Listening Enhancement for Full-End Speech Enhancement	Mar 22, 2022	Speech Enhancement	—Unverified	0
Investigating self-supervised learning for speech enhancement and separation	Mar 15, 2022	Self-Supervised LearningSpeech Enhancement	—Unverified	0
FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network	Mar 15, 2022	DenoisingSpeech Denoising	—Unverified	0
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing	Mar 11, 2022	Speech EnhancementSpoken Command Recognition	CodeCode Available	0
PercepNet+: A Phase and SNR Aware PercepNet for Real-Time Speech Enhancement	Mar 4, 2022	Speech Enhancement	—Unverified	0
MANNER: Multi-view Attention Network for Noise Erasure	Mar 4, 2022	DecoderSpeech Enhancement	CodeCode Available	1
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement	Mar 4, 2022	Speech Enhancement	—Unverified	0
Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement	Mar 4, 2022	Active Speaker DetectionMulti-Task Learning	CodeCode Available	1
ICASSP 2022 Acoustic Echo Cancellation Challenge	Feb 27, 2022	Acoustic echo cancellationSpeech Enhancement	CodeCode Available	2
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge	Feb 24, 2022	Speech Enhancement	—Unverified	0
Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement	Feb 24, 2022	Speech Enhancement	—Unverified	0

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All datasets VoiceBank + DEMAND Deep Noise Suppression (DNS) Challenge CHiME-3 EARS-WHAM EasyCom DNS Challenge VB-DemandEx WHAMR!WSJ0 + DEMAND + RNNoise RealMAN VoiceBank+DEMAND DEMAND

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ROSE-CD(PESQ)	PESQ (wb)	3.99	—	Unverified
2	PESQetarian	PESQ (wb)	3.82	—	Unverified
3	Mamba-SEUNet L (+PCS)	PESQ (wb)	3.73	—	Unverified
4	Schrödinger bridge (PESQ loss)	PESQ (wb)	3.7	—	Unverified
5	SEMamba (+PCS)	PESQ (wb)	3.69	—	Unverified
6	ZipEnhancer (S, \lamba_6 = 0)	PESQ (wb)	3.63	—	Unverified
7	PrimeK-Net	PESQ (wb)	3.61	—	Unverified
8	ZipEnhancer (S, \lamba_6 = 0.2)	PESQ (wb)	3.61	—	Unverified
9	MP-SENet	PESQ (wb)	3.6	—	Unverified
10	PCS_CS_WAVLM	PESQ (wb)	3.54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BSRNN-S + MGD	SI-SDR-WB	21.4	—	Unverified
2	DTLN	SI-SDR-WB	16.34	—	Unverified
3	Non-Real-Time MultiScale+	SI-SDR-WB	16.22	—	Unverified
4	ZipEnhancer (M)	PESQ-WB	3.81	—	Unverified
5	TF-Locoformer (M)	PESQ-WB	3.72	—	Unverified
6	ZipEnhancer (S)	PESQ-WB	3.69	—	Unverified
7	MambAttention	PESQ-WB	3.67	—	Unverified
8	MP-SENet	PESQ-WB	3.62	—	Unverified
9	xLSTM-SENet	PESQ-WB	3.59	—	Unverified
10	BSRNN-S + MRSD	PESQ-WB	3.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Inter-Channel Conv-TasNet	SDR	19.67	—	Unverified
2	CA Dense U-Net (Complex)	SDR	18.64	—	Unverified
3	Dense U-Net (Complex)	SDR	18.4	—	Unverified
4	Dense U-Net (Real)	SDR	16.86	—	Unverified
5	U-Net (Real)	SDR	15.97	—	Unverified
6	Noisy/unprocessed	SDR	6.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Schrödinger Bridge (PESQ loss)	PESQ-WB	3.09	—	Unverified
2	SGMSE+	PESQ-WB	2.5	—	Unverified
3	Demucs v4	PESQ-WB	2.37	—	Unverified
4	Schrödinger Bridge	PESQ-WB	2.33	—	Unverified
5	Conv-TasNet	PESQ-WB	2.31	—	Unverified
6	CDiffuSE	PESQ-WB	1.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ReVISE (ch2)	Audio Quality MOS	4.19	—	Unverified
2	ReVISE (bf)	Audio Quality MOS	4.11	—	Unverified
3	Demucs (ch2)	Audio Quality MOS	2.95	—	Unverified
4	Demucs (bf)	Audio Quality MOS	2.39	—	Unverified
5	MaxDI (Baseline)	PESQ	1.17	—	Unverified
6	DAJA (MVDR,HMA,1000) (Overlapped Speech)	SDR	-4.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ZipEnhancer (M)	PESQ-NB	4.08	—	Unverified
2	DCCRN-MC	PESQ-NB	3.21	—	Unverified
3	DCCRN-M	PESQ-NB	3.15	—	Unverified
4	DCCRN	PESQ-NB	3.04	—	Unverified
5	RNN-Modulation	PESQ-WB	2.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MambAttention	ESTOI	0.8	—	Unverified
2	SEMamba	ESTOI	0.8	—	Unverified
3	xLSTM-SENet	ESTOI	0.8	—	Unverified
4	MP-SENet	ESTOI	0.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepFormer	PESQ	2.84	—	Unverified
2	DTLN	PESQ	2.23	—	Unverified
3	Unprocessed	PESQ	1.83	—	Unverified
4	Non-Real-Time MultiScale+	PESQ	1.52	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DCUNet-MC	PESQ-NB	3.44	—	Unverified
2	DCCRN-M	PESQ-NB	3.28	—	Unverified
3	DCUNet	PESQ-NB	3.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CleanMel-L-map	DNSMOS	3.82	—	Unverified
2	SpatialNet	DNSMOS BAK	3.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	rose_cd(PESQ )	PESQ	3.99	—	Unverified
2	ROSE-CD	PESQ	3.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Wave-U-Net	CBAK	3.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Audio-Visual concat-ref	PESQ	2.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SE-MelGAN	Audio Quality MOS	3.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeFT-AN	PESQ	3.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Audio-Visual concat-ref	PESQ	3.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepFormer	PESQ	3.07	—	Unverified