mlsanityData to 7 Oct 2026

WaveGlow: A Flow-based Generative Network for Speech Synthesis

arXiv 1811.00002 ↗First posted 31 Oct 2018cs.SD cs.AI cs.LGcited by 308

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Cited by 41 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this paper we propose WaveGlow: a flow-based network capable of generating high quality speech from mel-spectrograms. WaveGlow combines insights from Glow and WaveNet in order to provide fast, efficient and high-quality audio synthesis, without the need for auto-regression. WaveGlow is implemented using only a single network, trained using only a single cost function: maximizing the likelihood of the training data, which makes the training procedure simple and stable. Our PyTorch implementation produces audio samples at a rate of more than 500 kHz on an NVIDIA V100 GPU. Mean Opinion Scores show that it delivers audio quality as good as the best publicly available WaveNet implementation. All code will be made publicly available online.

Key facts. Cited by 308 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Oct 2018.

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Citing papers per year: 2020: 1; 2021: 97; 2022: 76; 2023: 52; 2024: 42; 2025: 23; 2026: 17.

308 papers.

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  1. 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,339
  2. 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 737
  3. 2021VideoGPT: Video Generation using VQ-VAE and Transformerscited by 651
  4. 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 445
  5. 2023High-Fidelity Audio Compression with Improved RVQGANcited by 423
  6. 2021Generative Spoken Language Modeling from Raw Audiocited by 336
  7. 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 277
  8. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 251
  9. 2022BigVGAN: A Universal Neural Vocoder with Large-Scale Trainingcited by 245
  10. 2021Speech Resynthesis from Discrete Disentangled Self-Supervised Representationscited by 243
  11. 2021A Survey on Neural Speech Synthesiscited by 182
  12. 2022It's Raw! Audio Generation with State-Space Modelscited by 171
38 more
  1. 2021Diff-TTS: A Denoising Diffusion Model for Text-to-Speechcited by 156
  2. 2022NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Qualitycited by 151
  3. 2023Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesiscited by 150
  4. 2023Matcha-TTS: A fast TTS architecture with conditional flow matchingcited by 142
  5. 2022FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesiscited by 136
  6. 2021ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flowscited by 113
  7. 2021Deep Generative Learning via Schr"odinger Bridgecited by 103
  8. 2023Textually Pretrained Speech Language Modelscited by 99
  9. 2023TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targetscited by 88
  10. 2024Recent Advances in Speech Language Models: A Surveycited by 85
  11. 2021Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidancecited by 84
  12. 2021PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Priorcited by 78
  13. 2021WaveFake: A Data Set to Facilitate Audio Deepfake Detectioncited by 78
  14. 2021RAVE: A variational autoencoder for fast and high-quality neural audio synthesiscited by 72
  15. 2021WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesiscited by 65
  16. 2022BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesiscited by 64
  17. 2023Generative Pre-training for Speech with Flow Matchingcited by 55
  18. 2021NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsamplingcited by 50
  19. 2024ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reorderingcited by 50
  20. 2022HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancementcited by 49
  21. 2023Analysing Discrete Self Supervised Speech Representation for Spoken Language Modelingcited by 47
  22. 2022Visual Acoustic Matchingcited by 45
  23. 2022A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Modelcited by 44
  24. 2022Multi-instrument Music Synthesis with Spectrogram Diffusioncited by 42
  25. 2022Lip to Speech Synthesis with Visual Context Attentional GANcited by 41
  26. 2023WavMark: Watermarking for Audio Generationcited by 41
  27. 2022A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editingcited by 40
  28. 2021Neural Dubber: Dubbing for Videos According to Scriptscited by 39
  29. 2023Transformers in Speech Processing: A Surveycited by 38
  30. 2021CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesiscited by 37
  31. 2022SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shapingcited by 37
  32. 2022Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Datacited by 35
  33. 2023Generative-based Fusion Mechanism for Multi-Modal Trackingcited by 33
  34. 2022An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Eracited by 32
  35. 2023FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Corescited by 32
  36. 2024The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audiocited by 31
  37. 2022iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transformcited by 30
  38. 2022textless-lib: a Library for Textless Spoken Language Processingcited by 28

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