mlsanityData to 14 Oct 2026

AudioSR: Versatile Audio Super-resolution at Scale

arXiv 2309.07314 ↗First posted 13 Sep 2023cs.SD cs.AI cs.MMcited by 39

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Abstract (arXiv)

Audio super-resolution is a fundamental task that predicts high-frequency components for low-resolution audio, enhancing audio quality in digital applications. Previous methods have limitations such as the limited scope of audio types (e.g., music, speech) and specific bandwidth settings they can handle (e.g., 4kHz to 8kHz). In this paper, we introduce a diffusion-based generative model, AudioSR, that is capable of performing robust audio super-resolution on versatile audio types, including sound effects, music, and speech. Specifically, AudioSR can upsample any input audio signal within the bandwidth range of 2kHz to 16kHz to a high-resolution audio signal at 24kHz bandwidth with a sampling rate of 48kHz. Extensive objective evaluation on various audio super-resolution benchmarks demonstrates the strong result achieved by the proposed model. In addition, our subjective evaluation shows that AudioSR can acts as a plug-and-play module to enhance the generation quality of a wide range of audio generative models, including AudioLDM, Fastspeech2, and MusicGen. Our code and demo are available at https://audioldm.github.io/audiosr.

Key facts. Cited by 39 papers in the map (data through 14 Oct 2026). Builds on 18 of its 26 references that are in the map. First posted on arXiv 13 Sep 2023.

Builds on

18 of 26 references.

References · 18

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2020Denoising Diffusion Implicit Modelscited by 9,781
  3. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
  4. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 717
  5. 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Modelscited by 599
  6. 2023Simple and Controllable Music Generationcited by 488
  7. 2023MusicLM: Generating Music From Textcited by 448
  8. 2023AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretrainingcited by 344
  9. 2023Common Diffusion Noise Schedules and Sample Steps are Flawedcited by 310
  10. 2023WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Researchcited by 267
  11. 2021NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsamplingcited by 50
  12. 2021VoiceFixer: Toward General Speech Restoration with Neural Vocodercited by 50
6 more
  1. 2023Moisesdb: A dataset for source separation beyond 4-stemscited by 39
  2. 2022Neural Vocoder is All You Need for Speech Super-resolutioncited by 37
  3. 2022NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Ratescited by 36
  4. 2021GAN Vocoder: Multi-Resolution Discriminator Is All You Needcited by 16
  5. 2021Self-Attention for Audio Super-Resolutioncited by 9
  6. 2020Phase-aware music super-resolution using generative adversarial networkscited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 9; 2025: 17; 2026: 12.

39 papers.

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  1. 2024Moshi: a speech-text foundation model for real-time dialoguecited by 568
  2. 2024SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Soundcited by 45
  3. 2023HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesiscited by 35
  4. 2024Taming Data and Transformers for Audio Generationcited by 28
  5. 2024Masked Generative Video-to-Audio Transformers with Enhanced Synchronicitycited by 28
  6. 2025AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancementcited by 23
  7. 2025FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matchingcited by 18
  8. 2025Audio Super-Resolution with Latent Bridge Modelscited by 14
  9. 2025A2SB: Audio-to-Audio Schrodinger Bridgescited by 11
  10. 2024SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generationcited by 9
  11. 2024Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolutioncited by 9
  12. 2025Multi-Metric Preference Alignment for Generative Speech Restorationcited by 7
27 more
  1. 2025UniFlow-Audio: Unified Flow Matching for Audio Generation from Omni-Modalitiescited by 6
  2. 2024Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensorscited by 5
  3. 2025FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillationcited by 5
  4. 2025Learning to Upsample and Upmix Audio in the Latent Domaincited by 5
  5. 2024Vector Quantized Diffusion Model Based Speech Bandwidth Extensioncited by 4
  6. 2025VoiceBridge: General Speech Restoration with One-step Latent Bridge Modelscited by 4
  7. 2025Inference-time Scaling for Diffusion-based Audio Super-resolutioncited by 3
  8. 2025UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matchingcited by 3
  9. 2025HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarioscited by 2
  10. 2025A High-Fidelity Speech Super Resolution Network using a Complex Global Attention Module with Spectro-Temporal Losscited by 1
  11. 2026SIRUP: A diffusion-based virtual upmixer of steering vectors for highly-directive spatialization with first-order ambisonicscited by 1
  12. 2026LatentFlowSR: High-Fidelity Audio Super-Resolution via Noise-Robust Latent Flow Matchingcited by 1
  13. 2026AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editingcited by 1
  14. 2024Speech Bandwidth Expansion Via High Fidelity Generative Adversarial Networkscited by 0
  15. 2025Neural Spectral Band Generation for Audio Codingcited by 0
  16. 2025SUBARU: A Practical Approach to Power Saving in Hearables Using SUB-Nyquist Audio Resolution Upsamplingcited by 0
  17. 2025BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspectivecited by 0
  18. 2025CogSR: Semantic-Aware Speech Super-Resolution via Chain-of-Thought Guided Flow Matchingcited by 0
  19. 2026Discriminating real and synthetic super-resolved audio samples using embedding-based classifierscited by 0
  20. 2026FastWave: Optimized Diffusion Model for Audio Super-Resolutioncited by 0
  21. 2026Fast and Flexible Audio Bandwidth Extension via Vocoscited by 0
  22. 2026Stage-adaptive audio diffusion modelingcited by 0
  23. 2026Synthetic Audio Generation Framework for Air Traffic Control Speech Recognitioncited by 0
  24. 2026VeRe-Flow: Guiding Flow Matching toward Clean Speech via Velocity Contrastive Regularization and Representation Alignment for Noise-Robust Bandwidth Expansioncited by 0
  25. 2026On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio Codecscited by 0
  26. 2026P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolutioncited by 0
  27. 2026End-to-End Historical Music Restoration in Latent Spacecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025SAGA-SR: Semantically and Acoustically Guided Audio Super-Resolution
  2. 2026A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models
  3. 2025InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music Generation
  4. 2024AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space models
  5. 2025Audio Generation Through Score-Based Generative Modeling: Design Principles and Implementation
  6. 2022Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution
  7. 2021CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
  8. 2025Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond