Overview

Speech enhancement seeks to recover clear, intelligible speech from recordings degraded by background noise, reverberation, echo, or other speakers. Methods range from spectral masking and multichannel beamforming, such as MVDR, to neural time-domain models and newer diffusion, flow-matching, and codec-based generators; visual cues and speaker references can help identify the target. Systems are commonly tested on benchmarks such as VoiceBank+DEMAND, DNS, and CHiME, while real-world meetings, hearing aids, and mobile devices bring challenges in domain shift, latency, and power use. A central tension is that better perceptual scores do not always mean more accurate speech recognition, and generative methods must improve quality without changing the speaker’s words or introducing artifacts.

Latest papers

CardsList

128 papers15 papers in the last four weeks, down 50% on the four weeks before. 0.1% of all new papers.

  1. Advancing Electrolaryngeal Speech Enhancement Through Speech-Text Representation Learning

    Jun 1, 2026Ding Ma, Jinyi Mi, Fengji Li +5Representation LearningSpeech Processing

  2. IsoNet: Spatially-aware audio-visual target speech extraction in complex acoustic environments

    May 14, 2026Dinanath Padhya, Sajen Maharjan, Binita Adhikari +1Speech EnhancementMultimodal Fusion

  3. Exploring Token-Space Manipulation in Latent Audio Tokenizers

    May 11, 2026Francesco Paissan, Luca Della Libera, Mirco Ravanelli +1Audio Representation LearningNeural Audio Codecs

  4. Predictive-Generative Drift Decomposition for Speech Enhancement and Separation

    May 7, 2026Julius Richter, Yoshiki Masuyama, Christoph Boeddeker +3Stochastic InterpolantsSpeech Processing

  5. Speech Enhancement Based on Drifting Models

    Apr 27, 2026Liang Xu, Diego Caviedes-Nozal, W. Bastiaan Kleijn +2One-Step Generative ModelingSpeech Enhancement

  6. DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio

    Apr 10, 2026Wataru Nakata, Yuki Saito, Kazuki Yamauchi +2Audio Diffusion ModelsSpeech Processing

  7. GAP-URGENet: A Generative-Predictive Fusion Framework for Universal Speech Enhancement

    Apr 2, 2026Xiaobin Rong, Yushi Wang, Zheng Wang +1Speech ProcessingSpeech Enhancement

  8. A Probabilistic Generative Model for Spectral Speech Enhancement

    Mar 30, 2026Marco Hidalgo-Araya, Raphaël Trésor, Bart Van Erp +3Speech Enhancement

  9. Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers

    Mar 24, 2026Jakob Kienegger, Timo GerkmannBayesian FilteringDirection-of-Arrival Estimation

  10. DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion Transformers

    Mar 23, 2026Tianyu Cao, Helin Wang, Ari Frummer +7Speech EnhancementFlow Matching

  11. End-to-End Multi-Task Learning for Adjustable Joint Noise Reduction and Hearing Loss Compensation

    Mar 20, 2026Philippe Gonzalez, Vera Margrethe Frederiksen, Torsten Dau +1Speech EnhancementMulti-Task Learning

  12. Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments

    Mar 16, 2026Anacin, Angela, Shruti Kshirsagar +1Audio Deepfake DetectionSpeech Enhancement

  13. LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement

    Mar 14, 2026Chih-Ning Chen, Jen-Cheng Hou, Hsin-Min Wang +3LLM-Guided RLSpeech Enhancement

  14. Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow Matching

    Mar 13, 2026Junwon Moon, Seungbeom Kim, Hansol Park +4Target Speaker ExtractionFlow Matching

  15. SEMamba++: A General Speech Restoration Framework Leveraging Global, Local, and Periodic Spectral Patterns

    Mar 12, 2026Yongjoon Lee, Jung-Woo ChoiSpeech EnhancementFrequency-Domain Feature Learning

  16. StuPASE: Towards Low-Hallucination Studio-Quality Generative Speech Enhancement

    Mar 10, 2026Xiaobin Rong, Jun Gao, Zheng Wang +3Speech DereverberationSpeech Enhancement

  17. LL-SDR: Low-Latency Speech enhancement through Discrete Representations

    Mar 10, 2026Jingyi Li, Luca Della Libera, Mirco Ravanelli +2Speech EnhancementAudio Tokenization

  18. Towards Lightweight Adaptation of Speech Enhancement Models in Real-World Environments

    Mar 8, 2026Longbiao Cheng, Shih-Chii LiuSpeech EnhancementMemory-Efficient Fine-Tuning

  19. Visual-Informed Speech Enhancement Using Attention-Based Beamforming

    Mar 5, 2026Chihyun Liu, Jiaxuan Fan, Mingtung Sun +3Speech Enhancement

  20. Focus Then Listen: An Empirical Study of Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models

    Mar 5, 2026Han Yin, Yang Xiao, Younghoo Kwon +2Audio UnderstandingAudio-Language Models

  21. When Audio Separation Hurts Zero-Shot ASR: Evaluating SAM-Audio with Whisper on Bengali and English Speech

    Mar 5, 2026Akif Islam, Raufun Nahar, Md. Ekramul HamidASR EvaluationAutomatic Speech Recognition

  22. An Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing

    Mar 3, 2026Riccardo Rota, Kiril Ratmanski, Jozef Coldenhoff +1Speech EnhancementOn-Device Inference

  23. CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space

    Mar 2, 2026Bowen Zhang, Junchuan Zhao, Ian McLoughlin +2Speech EnhancementNeural Audio Codecs

  24. mmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR

    Feb 25, 2026Jash Karani, Adithya Chittem, Deepan Roy +1Generative Adversarial NetworksSpeech Enhancement

  25. Absorbing Discrete Diffusion for Speech Enhancement

    Feb 25, 2026Philippe GonzalezSpeech EnhancementDiffusion Models