{"total":114,"rows":[{"id":"2212.11851","title":"StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation","created":"2022-12-22","cited_by_count":105,"area":"diffusion"},{"id":"2209.05442","title":"Soft Diffusion: Score Matching for General Corruptions","created":"2022-09-12","cited_by_count":102,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2303.13336","title":"A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI","created":"2023-03-23","cited_by_count":68,"area":"diffusion"},{"id":"2404.18886","title":"A Survey on Diffusion Models for Time Series and Spatio-Temporal Data","created":"2024-04-29","cited_by_count":67,"area":"diffusion"},{"id":"2210.15228","title":"Solving Audio Inverse Problems with a Diffusion Model","created":"2022-10-27","cited_by_count":62,"area":"diffusion"},{"id":"2310.16338","title":"Generative Pre-training for Speech with Flow Matching","created":"2023-10-25","cited_by_count":55,"area":"diffusion"},{"id":"2210.17327","title":"Diffusion-based Generative Speech Source Separation","created":"2022-10-31","cited_by_count":41,"area":"diffusion"},{"id":"2409.14411","title":"Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation","created":"2024-09-22","cited_by_count":38,"area":"diffusion"},{"id":"2211.02397","title":"Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration","created":"2022-11-04","cited_by_count":34,"area":"diffusion"},{"id":"2408.06500","title":"Music2Latent: Consistency Autoencoders for Latent Audio Compression","created":"2024-08-12","cited_by_count":33,"area":"diffusion"},{"id":"2402.09821","title":"Diffusion Models for Audio Restoration","created":"2024-02-15","cited_by_count":32,"area":"diffusion"},{"id":"2402.04080","title":"Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning","created":"2024-02-06","cited_by_count":31,"area":"diffusion"},{"id":"2302.14748","title":"Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement","created":"2023-02-28","cited_by_count":30,"area":"diffusion"},{"id":"2304.05961","title":"SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models","created":"2023-04-12","cited_by_count":28,"area":"diffusion"},{"id":"2406.09286","title":"FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching","created":"2024-06-13","cited_by_count":23,"area":"diffusion"},{"id":"2508.06840","title":"FlowSE: Flow Matching-based Speech Enhancement","created":"2025-08-09","cited_by_count":21,"area":"diffusion"},{"id":"2309.07195","title":"Diffusion models for audio semantic communication","created":"2023-09-13","cited_by_count":17,"area":"diffusion"},{"id":"2505.19476","title":"FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching","created":"2025-05-26","cited_by_count":17,"area":"diffusion"},{"id":"2211.06757","title":"DriftRec: Adapting diffusion models to blind JPEG restoration","created":"2022-11-12","cited_by_count":15,"area":"diffusion"},{"id":"2308.03987","title":"Target Speech Extraction with Conditional Diffusion Model","created":"2023-08-08","cited_by_count":15,"area":"diffusion"},{"id":"2309.09677","title":"Single and Few-step Diffusion for Generative Speech Enhancement","created":"2023-09-18","cited_by_count":15,"area":"diffusion"},{"id":"2311.08667","title":"EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis","created":"2023-11-15","cited_by_count":15,"area":"diffusion"},{"id":"2503.01485","title":"FlowDec: A flow-based full-band general audio codec with high perceptual quality","created":"2025-03-03","cited_by_count":15,"area":"diffusion"},{"id":"2210.17287","title":"Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement","created":"2022-10-27","cited_by_count":14,"area":"diffusion"},{"id":"2306.01432","title":"Audio-Visual Speech Enhancement with Score-Based Generative Models","created":"2023-06-02","cited_by_count":12,"area":"diffusion"},{"id":"2309.10450","title":"Unsupervised speech enhancement with diffusion-based generative models","created":"2023-09-19","cited_by_count":12,"area":"diffusion"},{"id":"2310.04567","title":"DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extraction","created":"2023-10-06","cited_by_count":12,"area":"diffusion"},{"id":"2408.07472","title":"Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models","created":"2024-08-14","cited_by_count":11,"area":"diffusion"},{"id":"2305.10734","title":"Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders","created":"2023-05-18","cited_by_count":10,"area":"diffusion"},{"id":"2312.04370","title":"Investigating the Design Space of Diffusion Models for Speech Enhancement","created":"2023-12-07","cited_by_count":10,"area":"diffusion"},{"id":"2306.12286","title":"Diffusion Posterior Sampling for Informed Single-Channel Dereverberation","created":"2023-06-21","cited_by_count":9,"area":"diffusion"},{"id":"2307.08029","title":"Noise-aware Speech Enhancement using Diffusion Probabilistic Model","created":"2023-07-16","cited_by_count":9,"area":"diffusion"},{"id":"2310.19581","title":"Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model","created":"2023-10-30","cited_by_count":9,"area":"diffusion"},{"id":"2405.04272","title":"BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models","created":"2024-05-07","cited_by_count":9,"area":"diffusion"},{"id":"2406.07461","title":"Noise-robust Speech Separation with Fast Generative Correction","created":"2024-06-11","cited_by_count":9,"area":"diffusion"},{"id":"2211.04332","title":"DiffPhase: Generative Diffusion-based STFT Phase Retrieval","created":"2022-11-08","cited_by_count":8,"area":"diffusion"},{"id":"2309.13874","title":"DDTSE: Discriminative Diffusion Model for Target Speech Extraction","created":"2023-09-25","cited_by_count":8,"area":"diffusion"},{"id":"2312.02683","title":"Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler","created":"2023-12-05","cited_by_count":8,"area":"diffusion"},{"id":"2406.13471","title":"Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement","created":"2024-06-19","cited_by_count":8,"area":"diffusion"},{"id":"2409.05116","title":"Diffusion-based Speech Enhancement with Schr\\\"odinger Bridge and Symmetric Noise Schedule","created":"2024-09-08","cited_by_count":8,"area":"diffusion"},{"id":"2305.13796","title":"SE-Bridge: Speech Enhancement with Consistent Brownian Bridge","created":"2023-05-23","cited_by_count":7,"area":"diffusion"},{"id":"2306.00721","title":"UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model","created":"2023-06-01","cited_by_count":7,"area":"diffusion"},{"id":"2309.07828","title":"EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data","created":"2023-09-14","cited_by_count":7,"area":"diffusion"},{"id":"2309.10457","title":"Diffusion-based speech enhancement with a weighted generative-supervised learning loss","created":"2023-09-19","cited_by_count":7,"area":"diffusion"},{"id":"2310.00900","title":"uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Models","created":"2023-10-02","cited_by_count":7,"area":"diffusion"},{"id":"2402.15516","title":"GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model","created":"2024-02-09","cited_by_count":6,"area":"diffusion"},{"id":"2406.06139","title":"Thunder : Unified Regression-Diffusion Speech Enhancement with a Single Reverse Step using Brownian Bridge","created":"2024-06-10","cited_by_count":6,"area":"diffusion"},{"id":"2504.09381","title":"DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers","created":"2025-04-13","cited_by_count":6,"area":"diffusion"},{"id":"2505.14465","title":"FlowTSE: Target Speaker Extraction with Flow Matching","created":"2025-05-20","cited_by_count":6,"area":"diffusion"},{"id":"2506.02908","title":"Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency","created":"2025-06-03","cited_by_count":6,"area":"diffusion"},{"id":"2306.08527","title":"Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement","created":"2023-06-14","cited_by_count":5,"area":"diffusion"},{"id":"2309.08030","title":"AV2Wav: Diffusion-Based Re-synthesis from Continuous Self-supervised Features for Audio-Visual Speech Enhancement","created":"2023-09-14","cited_by_count":5,"area":"diffusion"},{"id":"2402.00811","title":"An Analysis of the Variance of Diffusion-based Speech Enhancement","created":"2024-02-01","cited_by_count":5,"area":"diffusion"},{"id":"2405.16952","title":"A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and Recognition","created":"2024-05-27","cited_by_count":5,"area":"diffusion"},{"id":"2505.22865","title":"BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models","created":"2025-05-28","cited_by_count":5,"area":"diffusion"},{"id":"2310.04791","title":"Conditional Diffusion Model for Target Speaker Extraction","created":"2023-10-07","cited_by_count":4,"area":"diffusion"},{"id":"2501.17578","title":"Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding","created":"2025-01-29","cited_by_count":4,"area":"diffusion"},{"id":"2505.23305","title":"MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction","created":"2025-05-29","cited_by_count":4,"area":"diffusion"},{"id":"2505.24576","title":"A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement","created":"2025-05-30","cited_by_count":4,"area":"diffusion"},{"id":"2507.05688","title":"Robust One-step Speech Enhancement via Consistency Distillation","created":"2025-07-08","cited_by_count":4,"area":"diffusion"},{"id":"2507.11925","title":"Schr\\\"odinger Bridge Consistency Trajectory Models for Speech Enhancement","created":"2025-07-16","cited_by_count":4,"area":"diffusion"},{"id":"2510.16997","title":"Towards Real-Time Generative Speech Restoration with Flow-Matching","created":"2025-10-19","cited_by_count":4,"area":"diffusion"},{"id":"2512.19442","title":"Real-Time Streamable Generative Speech Restoration with Flow Matching","created":"2025-12-22","cited_by_count":4,"area":"diffusion"},{"id":"2305.05857","title":"Diffusion-based Signal Refiner for Speech Enhancement and Separation","created":"2023-05-10","cited_by_count":3,"area":"diffusion"},{"id":"2406.06160","title":"The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems","created":"2024-06-10","cited_by_count":3,"area":"diffusion"},{"id":"2409.06451","title":"Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models","created":"2024-09-10","cited_by_count":3,"area":"diffusion"},{"id":"2501.10052","title":"Conditional Latent Diffusion-Based Speech Enhancement Via Dual Context Learning","created":"2025-01-17","cited_by_count":3,"area":"diffusion"},{"id":"2508.20584","title":"Flowing Straighter with Conditional Flow Matching for Accurate Speech Enhancement","created":"2025-08-28","cited_by_count":3,"area":"diffusion"},{"id":"2509.24708","title":"SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement","created":"2025-09-29","cited_by_count":3,"area":"diffusion"},{"id":"2510.16995","title":"Adaptive Deterministic Flow Matching for Target Speaker Extraction","created":"2025-10-19","cited_by_count":3,"area":"diffusion"},{"id":"2303.08674","title":"Speech Signal Improvement Using Causal Generative Diffusion Models","created":"2023-03-15","cited_by_count":2,"area":"diffusion"},{"id":"2406.07646","title":"Pre-training Feature Guided Diffusion Model for Speech Enhancement","created":"2024-06-11","cited_by_count":2,"area":"diffusion"},{"id":"2505.11391","title":"LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models","created":"2025-05-16","cited_by_count":2,"area":"diffusion"},{"id":"2409.04859","title":"Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matching","created":"2024-09-07","cited_by_count":1,"area":"diffusion"},{"id":"2410.17834","title":"Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech","created":"2024-10-23","cited_by_count":1,"area":"diffusion"},{"id":"2503.09675","title":"Accelerating Diffusion Sampling via Exploiting Local Transition Coherence","created":"2025-03-12","cited_by_count":1,"area":"diffusion"},{"id":"2508.20859","title":"Leveraging Discriminative Latent Representations for Conditioning GAN-Based Speech Enhancement","created":"2025-08-28","cited_by_count":1,"area":"diffusion"},{"id":"2509.15085","title":"Real-Time Streaming Mel Vocoding with Generative Flow Matching","created":"2025-09-18","cited_by_count":1,"area":"diffusion"},{"id":"2509.15952","title":"Compose Yourself: Average-Velocity Flow Matching for One-Step Speech Enhancement","created":"2025-09-19","cited_by_count":1,"area":"diffusion"},{"id":"2509.24579","title":"U-DiT Policy: U-shaped Diffusion Transformers for Robotic Manipulation","created":"2025-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2512.10382","title":"Investigating training objective for flow matching-based speech enhancement","created":"2025-12-11","cited_by_count":1,"area":"diffusion"},{"id":"2601.18456","title":"Geneses: Unified Generative Speech Enhancement and Separation","created":"2026-01-26","cited_by_count":1,"area":"diffusion"},{"id":"2606.20001","title":"Time-Unconditional Generative Speech Enhancement via Autonomous Rectified Flow","created":"2026-06-18","cited_by_count":1,"area":"diffusion"},{"id":"2608.14097","title":"Ambisonics Encoding of Room Impulse Responses using a Device-Agnostic Diffusion Model","created":"2026-08-14","cited_by_count":1,"area":"diffusion"},{"id":"2409.09642","title":"Extract and Diffuse: Latent Integration for Improved Diffusion-based Speech and Vocal Enhancement","created":"2024-09-15","cited_by_count":0,"area":"diffusion"},{"id":"2502.13574","title":"RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior","created":"2025-02-19","cited_by_count":0,"area":"diffusion"},{"id":"2505.13983","title":"Combining Deterministic Enhanced Conditions with Dual-Streaming Encoding for Diffusion-Based Speech Enhancement","created":"2025-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2507.02391","title":"Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement","created":"2025-07-03","cited_by_count":0,"area":"diffusion"},{"id":"2508.06842","title":"Speech Enhancement based on cascaded two flows","created":"2025-08-09","cited_by_count":0,"area":"diffusion"},{"id":"2508.18833","title":"On the Application of Diffusion Models for Simultaneous Denoising and Dereverberation","created":"2025-08-26","cited_by_count":0,"area":"diffusion"},{"id":"2510.04157","title":"GDiffuSE: Diffusion-based speech enhancement with noise model guidance","created":"2025-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2511.00209","title":"Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides","created":"2025-10-31","cited_by_count":0,"area":"diffusion"},{"id":"2511.22293","title":"GLA-Grad++: An Improved Griffin-Lim Guided Diffusion Model for Speech Synthesis","created":"2025-11-27","cited_by_count":0,"area":"diffusion"},{"id":"2601.04459","title":"Latent-Level Enhancement with Flow Matching for Robust Automatic Speech Recognition","created":"2026-01-08","cited_by_count":0,"area":"diffusion"},{"id":"2601.12354","title":"Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion Models","created":"2026-01-18","cited_by_count":0,"area":"diffusion"},{"id":"2601.13140","title":"AMDM-SE: Attention-based Multichannel Diffusion Model for Speech Enhancement","created":"2026-01-19","cited_by_count":0,"area":"diffusion"},{"id":"2602.00568","title":"Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy","created":"2026-01-31","cited_by_count":0,"area":"diffusion"},{"id":"2602.15405","title":"Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits","created":"2026-02-17","cited_by_count":0,"area":"diffusion"},{"id":"2602.22417","title":"Absorbing Discrete Diffusion for Speech Enhancement","created":"2026-02-25","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}