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A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Just Noticeable and Objectionable Group Delays in Digital Hearing Aids
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Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
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Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation
inferredcites →https://doi.org/10.1109/lsp.2013.2291240openalex-snapshot
An Experimental Study on Speech Enhancement Based on Deep Neural Networks
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An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
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On Training Targets for Supervised Speech Separation
inferredcites →https://doi.org/10.1109/taslp.2016.2628641openalex-snapshot
Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems
inferredcites →https://doi.org/10.1121/1.2920958openalex-snapshot
Computational Auditory Scene Analysis: Principles, Algorithms and Applications
inferredcites →https://doi.org/10.1121/1.4986931openalex-snapshot
Long short-term memory for speaker generalization in supervised speech separation
inferredcites →https://doi.org/10.48550/arxiv.1511.07289openalex-snapshot
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Supervised Attention Multi-Scale Temporal Convolutional Network for Monaural Speech Enhancement in Real Scenarios
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Convolutional gated recurrent unit networks based real-time monaural speech enhancement
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Real time speech enhancement using densely connected neural networks and Squeezed temporal convolutional modules
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Real Time Speech Enhancement Using Triple Attention U-Net
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Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks
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SEformer: Dual-Path Conformer Neural Network is a Good Speech Denoiser
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Multichannel Speech Enhancement Using Complex-Valued Graph Convolutional Networks and Triple-Path Attentive Recurrent Networks
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Multi-Stage Speech Enhancement with Cascaded SNR Domain Shifts
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Speech Enhancement Network with Windowed Cross Attention Using Noise-Reference Microphone
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Magnitude-and-Phase-Aware Speech Enhancement With Parallel Sequence Modeling
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Pitch-Assistant Harmonic Recovery for Efficient Speech Enhancement
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MBENet: Bone-conduction and Air-conduction Fusion Network for Target Speaker Extraction
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Improved Separation of Closely-spaced Speakers by Exploiting Auxiliary Direction of Arrival Information within a U-Net Architecture
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A Comparative Study of Time and Frequency Domain Approaches in Single Channel Foreground Speech Enhancement using Deep Neural Networks
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Attention-Based Noise-Aware Framework for Speech Enhancement
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An Lightweight Complex Spectrum Speech Enhancement Approach Based on Dual Attention
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Deep Learning-Based Audio Denoising for Disaster Response Systems
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INDDICA: A On-Device Real Time Method for Background Noise Removal from Speech Signal
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Graph-Guided Spatial-Temporal Diffusion Model for Speech Enhancement with Microphone Array
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Multi-scale Local and Global Context-aware Network for Speech Enhancement in Insect Noise Environments
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Enhancing TTS Performance for Noisy and Low-Resource Languages Using Advanced Noise Removal Techniques
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Speech Enhancement in Time-Frequency Domain with Harmonic-Weighted Loss Function for Optical Laser Microphone
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AI-Powered Solutions for Real-Time Speech Enhancement in VoIP Communication Networks
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Acoustic Howling Suppression with Neural Networks using Real-world Data
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A Dense U-Net Framework for Speech Enhancement with Channel-Sequence Attention
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Speech Enhancement Using Deep Complex Neural Network With Channel Attention
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A Dynamic Speech Enhancement Algorithm Based on Spectral Masking
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Densely Connected Dilated Convolutions with Time-Frequency Attention for Speech Enhancement
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Real-Time Speech Denoising on Edge Devices for Disaster Response
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Noise Suppression System for Enhanced Voice Calls Using Deep Learning and AI-Driven Adaptive Filtering
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Gated Convolutional Recurrent Networks with Efficient Channel attention for Monaural Speech Enhancement
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Complex Spectral Mapping with a Convolutional Recurrent Network for Monaural Speech Enhancement
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Densely Connected Network with Time-frequency Dilated Convolution for Speech Enhancement
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Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
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Real-time Speech Enhancement Using an Efficient Convolutional Recurrent Network for Dual-microphone Mobile Phones in Close-talk Scenarios
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TCNN: Temporal Convolutional Neural Network for Real-time Speech Enhancement in the Time Domain
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A Robust Text-independent Speaker Verification Method Based on Speech Separation and Deep Speaker
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Neural Kalman Filtering for Speech Enhancement
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Towards Efficient Models for Real-Time Deep Noise Suppression
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A Time-Domain Convolutional Recurrent Network for Packet Loss Concealment
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413955openalex-snapshot
Multi-Channel Speech Enhancement Using Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413967openalex-snapshot
Densely Connected Multi-Stage Model with Channel Wise Subband Feature for Real-Time Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414062openalex-snapshot
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414182openalex-snapshot
An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414263openalex-snapshot
On The Role of Visual Cues in Audiovisual Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414280openalex-snapshot
Teacher-Student Learning for Low-Latency Online Speech Enhancement Using Wave-U-Net
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414322openalex-snapshot
Ultra-Lightweight Speech Separation Via Group Communication
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414346openalex-snapshot
Real-Time Speech Enhancement for Mobile Communication Based on Dual-Channel Complex Spectral Mapping
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414536openalex-snapshot
Compressed Representation of Cepstral Coefficients via Recurrent Neural Networks for Informed Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414569openalex-snapshot
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414761openalex-snapshot
Phoneme-Based Distribution Regularization for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414929openalex-snapshot
Weighted Magnitude-Phase Loss for Speech Dereverberation
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053188openalex-snapshot
Masking and Inpainting: A Two-Stage Speech Enhancement Approach for Low SNR and Non-Stationary Noise
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053277openalex-snapshot
Redundant Convolutional Network With Attention Mechanism For Monaural Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054145openalex-snapshot
Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054222openalex-snapshot
Speakerfilter: Deep Learning-Based Target Speaker Extraction Using Anchor Speech
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054230openalex-snapshot
Fully Convolutional Recurrent Networks for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054254openalex-snapshot
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054334openalex-snapshot
Pan: Phoneme-Aware Network for Monaural Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054499openalex-snapshot
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054563openalex-snapshot
Low-Latency Single Channel Speech Enhancement Using U-Net Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054597openalex-snapshot
Real-Time Speech Enhancement Using Equilibriated RNN
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746054openalex-snapshot
Spatial-Temporal Graph Convolution Network for Multichannel Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746220openalex-snapshot
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746296openalex-snapshot
End-to-End Neural Speech Coding for Real-Time Communications
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746981openalex-snapshot
Multi-Stage and Multi-Loss Training for Fullband Non-Personalized and Personalized Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747009openalex-snapshot
Multi-Channel Speech Denoising for Machine Ears
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747029openalex-snapshot
S-DCCRN: Super Wide Band DCCRN with Learnable Complex Feature for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747168openalex-snapshot
Dynamic Sliding Window for Realtime Denoising Networks
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747177openalex-snapshot
Speech Enhancement with Neural Homomorphic Synthesis
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747267openalex-snapshot
Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747405openalex-snapshot
A Two-Step Backward Compatible Fullband Speech Enhancement System
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747578openalex-snapshot
FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747752openalex-snapshot
Cross-Domain Speech Enhancement with a Neural Cascade Architecture
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446396openalex-snapshot
SICRN: Advancing Speech Enhancement through State Space Model and Inplace Convolution Techniques
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447090openalex-snapshot
Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447096openalex-snapshot
A Two-Stage Framework in Cross-Spectrum Domain for Real-Time Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447228openalex-snapshot
On Real-Time Multi-Stage Speech Enhancement Systems
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448310openalex-snapshot
GTCRN: A Speech Enhancement Model Requiring Ultralow Computational Resources
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448353openalex-snapshot
Ultra Low Complexity Deep Learning Based Noise Suppression
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095213openalex-snapshot
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095300openalex-snapshot
Model-Matching Principle Applied to the Design of an Array-Based All-Neural Binaural Rendering System for Audio Telepresence
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095700openalex-snapshot
FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095890openalex-snapshot
Egocentric Audio-Visual Noise Suppression
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096064openalex-snapshot
Cold Diffusion for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096166openalex-snapshot
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096178openalex-snapshot
Speech Enhancement with Intelligent Neural Homomorphic Synthesis
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096308openalex-snapshot
HuBERT-AGG: Aggregated Representation Distillation of Hidden-Unit Bert for Robust Speech Recognition
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096724openalex-snapshot
On The Design and Training Strategies for Rnn-Based Online Neural Speech Separation Systems
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096868openalex-snapshot
Aiding Speech Harmonic Recovery in DNN-Based Single Channel Noise Reduction Using Cepstral Excitation Manipulation (CEM) Components
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887633openalex-snapshot
CorrGAN: Simultaneous Learning of Speech Enhancement and Perceptual Quality Loss Functions
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887678openalex-snapshot
Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888272openalex-snapshot
LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889006openalex-snapshot
30+ Years of Source Separation Research: Achievements and Future Challenges
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889141openalex-snapshot
Speech Enhancement with Overlapped-Frame Information Fusion and Causal Self-Attention
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890458openalex-snapshot
Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890474openalex-snapshot
Robust Target Speaker Direction of Arrival Estimation
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890512openalex-snapshot
Ultra low-compute complex spectral masking for multichannel speech enhancement
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