{"total":107,"rows":[{"id":"2407.05361","title":"Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation","created":"2024-07-07","cited_by_count":204,"area":null},{"id":"2203.13086","title":"HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement","created":"2022-03-24","cited_by_count":49,"area":null},{"id":"2205.05474","title":"DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio","created":"2022-05-11","cited_by_count":24,"area":null},{"id":"2406.10735","title":"How Should We Extract Discrete Audio Tokens from Self-Supervised Models?","created":"2024-06-15","cited_by_count":24,"area":null},{"id":"2209.11112","title":"CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement","created":"2022-09-22","cited_by_count":23,"area":null},{"id":"2501.15417","title":"AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement","created":"2025-01-26","cited_by_count":23,"area":null},{"id":"2501.15907","title":"Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation","created":"2025-01-27","cited_by_count":20,"area":null},{"id":"2407.12229","title":"Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech","created":"2024-07-17","cited_by_count":19,"area":null},{"id":"2110.05866","title":"MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech","created":"2021-10-12","cited_by_count":18,"area":null},{"id":"2502.04465","title":"FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks","created":"2025-02-06","cited_by_count":18,"area":null},{"id":"2511.05516","title":"Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation","created":"2025-10-26","cited_by_count":17,"area":null},{"id":"2507.05727","title":"ContextASR-Bench: A Massive Contextual Speech Recognition Benchmark","created":"2025-07-08","cited_by_count":15,"area":null},{"id":"2603.18090","title":"MOSS-TTS Technical Report","created":"2026-03-18","cited_by_count":14,"area":null},{"id":"2406.03460","title":"The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement","created":"2024-06-05","cited_by_count":12,"area":null},{"id":"2504.02386","title":"VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models","created":"2025-04-03","cited_by_count":11,"area":null},{"id":"2509.02521","title":"FLM-Audio: Natural Monologues Improves Native Full-Duplex Chatbots via Dual Training","created":"2025-09-02","cited_by_count":11,"area":null},{"id":"2211.02542","title":"Self-Supervised Learning for Speech Enhancement through Synthesis","created":"2022-11-04","cited_by_count":10,"area":null},{"id":"2303.07624","title":"I3D: Transformer architectures with input-dependent dynamic depth for speech recognition","created":"2023-03-14","cited_by_count":10,"area":null},{"id":"2304.12023","title":"Multi-channel Speech Separation Using Spatially Selective Deep Non-linear Filters","created":"2023-04-24","cited_by_count":10,"area":null},{"id":"2409.07841","title":"TSELM: Target Speaker Extraction using Discrete Tokens and Language Models","created":"2024-09-12","cited_by_count":10,"area":null},{"id":"2412.08237","title":"TouchTTS: An Embarrassingly Simple TTS Framework that Everyone Can Touch","created":"2024-12-11","cited_by_count":10,"area":null},{"id":"2504.02433","title":"OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking","created":"2025-04-03","cited_by_count":9,"area":null},{"id":"2505.19314","title":"SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline","created":"2025-05-25","cited_by_count":9,"area":null},{"id":"2509.16195","title":"FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation","created":"2025-09-19","cited_by_count":9,"area":null},{"id":"2410.21131","title":"Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments","created":"2024-10-28","cited_by_count":8,"area":null},{"id":"2506.19441","title":"TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems","created":"2025-06-24","cited_by_count":8,"area":null},{"id":"2410.05920","title":"FINALLY: fast and universal speech enhancement with studio-like quality","created":"2024-10-08","cited_by_count":7,"area":null},{"id":"2503.08533","title":"ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems","created":"2025-03-11","cited_by_count":7,"area":null},{"id":"2301.04320","title":"Rethinking complex-valued deep neural networks for monaural speech enhancement","created":"2023-01-11","cited_by_count":6,"area":null},{"id":"2306.03014","title":"On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings","created":"2023-06-05","cited_by_count":6,"area":null},{"id":"2306.03177","title":"DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic Echo Cancellation, Noise Suppression and Dereverberation","created":"2023-06-05","cited_by_count":6,"area":null},{"id":"2507.23511","title":"MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks","created":"2025-07-31","cited_by_count":6,"area":null},{"id":"2509.14858","title":"MeanFlowSE: one-step generative speech enhancement via conditional mean flow","created":"2025-09-18","cited_by_count":6,"area":null},{"id":"2601.01373","title":"UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models","created":"2026-01-04","cited_by_count":6,"area":null},{"id":"2603.22677","title":"MuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation","created":"2026-03-24","cited_by_count":6,"area":null},{"id":"2211.01751","title":"Iterative autoregression: a novel trick to improve your low-latency speech enhancement model","created":"2022-11-03","cited_by_count":5,"area":null},{"id":"2307.14464","title":"Single Channel Speech Enhancement Using U-Net Spiking Neural Networks","created":"2023-07-26","cited_by_count":5,"area":null},{"id":"2504.07402","title":"LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models","created":"2025-04-10","cited_by_count":5,"area":null},{"id":"2511.13300","title":"PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement","created":"2025-11-17","cited_by_count":5,"area":null},{"id":"2204.03232","title":"Leveraging Real Conversational Data for Multi-Channel Continuous Speech Separation","created":"2022-04-07","cited_by_count":4,"area":null},{"id":"2505.11200","title":"Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese","created":"2025-05-16","cited_by_count":4,"area":null},{"id":"2510.20441","title":"UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement","created":"2025-10-23","cited_by_count":4,"area":null},{"id":"2512.08238","title":"SpeechQualityLLM: LLM-Based Multimodal Assessment of Speech Quality","created":"2025-12-09","cited_by_count":4,"area":null},{"id":"2601.23174","title":"Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization","created":"2026-01-30","cited_by_count":4,"area":null},{"id":"2605.05611","title":"X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning","created":"2026-05-07","cited_by_count":4,"area":null},{"id":"2401.18045","title":"SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition","created":"2024-01-31","cited_by_count":3,"area":null},{"id":"2409.01217","title":"A multilingual training strategy for low resource Text to Speech","created":"2024-09-02","cited_by_count":3,"area":null},{"id":"2501.05332","title":"AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder","created":"2025-01-09","cited_by_count":3,"area":null},{"id":"2501.13375","title":"Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement","created":"2025-01-23","cited_by_count":3,"area":null},{"id":"2507.21138","title":"TTS-1 Technical Report","created":"2025-07-22","cited_by_count":3,"area":null},{"id":"2508.08957","title":"QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems","created":"2025-08-12","cited_by_count":3,"area":null},{"id":"2604.24199","title":"Speech Enhancement Based on Drifting Models","created":"2026-04-27","cited_by_count":3,"area":null},{"id":"2206.13272","title":"Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualities","created":"2022-06-27","cited_by_count":2,"area":null},{"id":"2211.06508","title":"On the robustness of non-intrusive speech quality model by adversarial examples","created":"2022-11-11","cited_by_count":2,"area":null},{"id":"2302.08088","title":"TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement","created":"2023-02-16","cited_by_count":2,"area":null},{"id":"2302.08095","title":"PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement","created":"2023-02-16","cited_by_count":2,"area":null},{"id":"2404.16743","title":"Automatic Speech Recognition System-Independent Word Error Rate Estimation","created":"2024-04-25","cited_by_count":2,"area":null},{"id":"2502.20040","title":"CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR","created":"2025-02-27","cited_by_count":2,"area":null},{"id":"2505.17426","title":"UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2505.18533","title":"TS-URGENet: A Three-stage Universal Robust and Generalizable Speech Enhancement Network","created":"2025-05-24","cited_by_count":2,"area":null},{"id":"2508.01847","title":"Test-Time Training for Speech Enhancement","created":"2025-08-03","cited_by_count":2,"area":null},{"id":"2508.02210","title":"WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features","created":"2025-08-04","cited_by_count":2,"area":null},{"id":"2508.03041","title":"Neural Speech Extraction with Human Feedback","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2406.09928","title":"Personalized Speech Enhancement Without a Separate Speaker Embedding Model","created":"2024-06-14","cited_by_count":1,"area":null},{"id":"2407.17172","title":"Speech Editing -- a Summary","created":"2024-07-24","cited_by_count":1,"area":null},{"id":"2505.13181","title":"Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2506.00462","title":"XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark","created":"2025-05-31","cited_by_count":1,"area":null},{"id":"2506.12537","title":"What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study","created":"2025-06-14","cited_by_count":1,"area":null},{"id":"2507.12825","title":"Autoregressive Speech Enhancement via Acoustic Tokens","created":"2025-07-17","cited_by_count":1,"area":null},{"id":"2508.03047","title":"TF-MLPNet: Tiny Real-Time Neural Speech Separation","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2510.20677","title":"R2-SVC: Towards Real-World Robust and Expressive Zero-shot Singing Voice Conversion","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2601.14925","title":"Fast-ULCNet: A fast and ultra low complexity network for single-channel speech enhancement","created":"2026-01-21","cited_by_count":1,"area":null},{"id":"2601.19399","title":"Residual Tokens Enhance Masked Autoencoders for Speech Modeling","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2604.01832","title":"GAP-URGENet: A Generative-Predictive Fusion Framework for Universal Speech Enhancement","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2604.19635","title":"StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model","created":"2026-04-21","cited_by_count":1,"area":null},{"id":"2604.24416","title":"Scaling Properties of Continuous Diffusion Spoken Language Models","created":"2026-04-27","cited_by_count":1,"area":null},{"id":"2605.09167","title":"WorldSpeech: A Multilingual Speech Corpus from Around the World","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2608.13602","title":"Omni-LiveAvatar: Minute-Level Real-Time Streaming Joint Audio-Video Avatar Generation","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2608.30204","title":"When Models Hear What They Expect: Diagnosing Prosodic Heuristics in Multimodal Sarcasm Detection","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2402.01413","title":"Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2502.07205","title":"VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification","created":"2025-02-11","cited_by_count":0,"area":null},{"id":"2503.00340","title":"UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement via Network Architecture Search","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2503.11627","title":"Are Deep Speech Denoising Models Robust to Adversarial Noise?","created":"2025-03-14","cited_by_count":0,"area":null},{"id":"2503.21571","title":"Magnitude-Phase Dual-Path Speech Enhancement Network based on Self-Supervised Embedding and Perceptual Contrast Stretch Boosting","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2505.05056","title":"Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations","created":"2025-05-08","cited_by_count":0,"area":null},{"id":"2510.26190","title":"SP-MCQA: Evaluating Intelligibility of TTS Beyond the Word Level","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2511.03423","title":"Seeing What You Say: Expressive Image Generation from Speech","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2602.22431","title":"mmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2603.05270","title":"Visual-Informed Speech Enhancement Using Attention-Based Beamforming","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2603.09234","title":"StuPASE: Towards Low-Hallucination Studio-Quality Generative Speech Enhancement","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2604.14606","title":"UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinations","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2606.08843","title":"From A to B to A: Palindromic Zero-Shot Voice Conversion with Non-Parallel Data","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2606.09677","title":"MeCo: One-Step MeanFlow-based Corrector for Multi-Channel Speech Separation","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.18611","title":"QC-GAN: A Parameter-Efficient Quaternion Conformer GAN for High-Fidelity Speech Enhancement","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2606.20137","title":"PASQA: Pitch-Accent-Focused Speech Quality Assessment Model Trained on Synthetic Speech with Accent Errors","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.23761","title":"Neuromorphic Speech Enhancement with Dual-Branch Spiking Neural Networks","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2609.03414","title":"StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.03622","title":"Test-time adaptation for speech enhancement with an autoregressive speech prior","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.03940","title":"Masked Autoregressive Speech Enhancement with Continuous Neural Audio Codec Representations","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.04452","title":"TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audio","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":"100"}