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 226–250 of 982 papers

Title	Date	Tasks	Status
DCF-DS: Deep Cascade Fusion of Diarization and Separation for Speech Recognition under Realistic Single-Channel Conditions	Nov 11, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Attention-based Speech Enhancement Using Human Quality Perception Modelling	Mar 23, 2023	Language ModelingLanguage Modelling	—Unverified
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression	Aug 4, 2020	Learning Theoryregression	—Unverified
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting	May 21, 2023	DenoisingKeyword Spotting	—Unverified
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation	Dec 1, 2020	channel selectionDeep Learning	—Unverified
Deep Beamforming for Speech Enhancement and Speaker Localization with an Array Response-Aware Loss Function	Oct 19, 2023	Speech Enhancement	—Unverified
Deep Complex U-Net with Conformer for Audio-Visual Speech Enhancement	Sep 20, 2023	DecoderSpeech Enhancement	—Unverified
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training	Nov 16, 2022	Representation LearningSpeech Enhancement	—Unverified
DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration	May 29, 2025	Speech Enhancement	—Unverified
DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement	Jun 16, 2021	DecoderSpeech Enhancement	—Unverified
Analysis of Noisy-target Training for DNN-based speech enhancement	Nov 2, 2022	Speech Enhancement	—Unverified
DCCRGAN: Deep Complex Convolution Recurrent Generator Adversarial Network for Speech Enhancement	Dec 19, 2020	Generative Adversarial NetworkSpeech Enhancement	—Unverified
Deep Interaction between Masking and Mapping Targets for Single-Channel Speech Enhancement	Jun 9, 2021	DenoisingSpeech Enhancement	—Unverified
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect	May 29, 2019	Speech Enhancement	—Unverified
Dataset of Spatial Room Impulse Responses in a Variable Acoustics Room for Six Degrees-of-Freedom Rendering and Analysis	Nov 23, 2021	Speech Enhancement	—Unverified
Deep Learning Based Speech Beamforming	Feb 15, 2018	Deep LearningSpeech Enhancement	—Unverified
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI	Mar 23, 2023	Speech EnhancementSpeech Synthesis	—Unverified
Deep low-latency joint speech transmission and enhancement over a gaussian channel	Apr 30, 2024	DecoderSpeech Enhancement	—Unverified
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise	Apr 28, 2020	ClusteringData Augmentation	—Unverified
Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition	Jul 6, 2023	Speech DereverberationSpeech Enhancement	—Unverified
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair	Jun 22, 2021	ClusteringDeep Clustering	—Unverified
Deep neural network techniques for monaural speech enhancement: state of the art analysis	Dec 1, 2022	Art AnalysisImage Generation	—Unverified
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet	Nov 6, 2021	DenoisingSpeech Enhancement	—Unverified
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR	Nov 28, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DFSNet: A Steerable Neural Beamformer Invariant to Microphone Array Configuration for Real-Time, Low-Latency Speech Enhancement	Feb 26, 2023	AttributeSpeech Enhancement	—Unverified

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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