mlsanityData to 14 Oct 2026

VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration

arXiv 2204.05841 ↗First posted 12 Apr 2022eess.AS cs.SD eess.SPcited by 37

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Abstract (arXiv)

Speech restoration aims to remove distortions in speech signals. Prior methods mainly focus on a single type of distortion, such as speech denoising or dereverberation. However, speech signals can be degraded by several different distortions simultaneously in the real world. It is thus important to extend speech restoration models to deal with multiple distortions. In this paper, we introduce VoiceFixer, a unified framework for high-fidelity speech restoration. VoiceFixer restores speech from multiple distortions (e.g., noise, reverberation, and clipping) and can expand degraded speech (e.g., noisy speech) with a low bandwidth to 44.1 kHz full-bandwidth high-fidelity speech. We design VoiceFixer based on (1) an analysis stage that predicts intermediate-level features from the degraded speech, and (2) a synthesis stage that generates waveform using a neural vocoder. Both objective and subjective evaluations show that VoiceFixer is effective on severely degraded speech, such as real-world historical speech recordings. Samples of VoiceFixer are available at https://haoheliu.github.io/voicefixer.

Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Apr 2022.

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Citing papers per year: 2022: 2; 2023: 8; 2024: 8; 2025: 15; 2026: 4.

37 papers.

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  1. 2023WavJourney: Compositional Audio Creation with Large Language Modelscited by 27
  2. 2024MaskSR: Masked Language Model for Full-band Speech Restorationcited by 24
  3. 2025AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancementcited by 23
  4. 2023AV-RIR: Audio-Visual Room Impulse Response Estimationcited by 20
  5. 2025LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancementcited by 19
  6. 2023AdVerb: Visually Guided Audio Dereverberationcited by 15
  7. 2022Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancementcited by 14
  8. 2024High-Resolution Speech Restoration with Latent Diffusion Modelcited by 8
  9. 2024Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speechcited by 7
  10. 2024FINALLY: fast and universal speech enhancement with studio-like qualitycited by 7
  11. 2025Universal Speech Enhancement with Regression and Generative Mambacited by 7
  12. 2025Multi-Metric Preference Alignment for Generative Speech Restorationcited by 7
25 more
  1. 2023The IMS Toucan System for the Blizzard Challenge 2023cited by 6
  2. 2025UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-Modalitiescited by 6
  3. 2023Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voicescited by 4
  4. 2024Vector Quantized Diffusion Model Based Speech Bandwidth Extensioncited by 4
  5. 2025VoiceBridge: General Speech Restoration with One-step Latent Bridge Modelscited by 4
  6. 2022Deep neural network techniques for monaural speech enhancement: state of the art analysiscited by 3
  7. 2023Diffusion-based Signal Refiner for Speech Enhancement and Separationcited by 3
  8. 2024DIFFRENT: A Diffusion Model for Recording Environment Transfer of Speechcited by 3
  9. 2024SPA-SVC: Self-supervised Pitch Augmentation for Singing Voice Conversioncited by 3
  10. 2025EDNet: A Versatile Speech Enhancement Framework with Gating Mamba Mechanism and Phase Shift-Invariant Trainingcited by 3
  11. 2025SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancementcited by 3
  12. 2025CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRcited by 2
  13. 2025TS-URGENet: A Three-stage Universal Robust and Generalizable Speech Enhancement Networkcited by 2
  14. 2023Guided Speech Enhancement Networkcited by 1
  15. 2025Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restorationcited by 1
  16. 2026CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Spacecited by 1
  17. 2026Post-Training Speech Enhancement Language Models with Perceptual Rewardscited by 1
  18. 2023Speech Separation based on Contrastive Learning and Deep Modularizationcited by 0
  19. 2024A Dual-Branch Parallel Network for Speech Enhancement and Restorationcited by 0
  20. 2025How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarioscited by 0
  21. 2025Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberationcited by 0
  22. 2025Kinship in Speech: Leveraging Linguistic Relatedness for Zero-Shot TTS in Indian Languagescited by 0
  23. 2025CogSR: Semantic-Aware Speech Super-Resolution via Chain-of-Thought Guided Flow Matchingcited by 0
  24. 2026Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logitscited by 0
  25. 2026UniPASE: A Generative Model for Universal Speech Enhancement with High Fidelity and Low Hallucinationscited by 0