mlsanityData to 7 Oct 2026

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

arXiv 2309.02836 ↗First posted 6 Sep 2023cs.SD cs.LG eess.AScited by 6

Not on the map. Why?

Abstract (arXiv)

Generative adversarial network (GAN)-based vocoders have been intensively studied because they can synthesize high-fidelity audio waveforms faster than real-time. However, it has been reported that most GANs fail to obtain the optimal projection for discriminating between real and fake data in the feature space. In the literature, it has been demonstrated that slicing adversarial network (SAN), an improved GAN training framework that can find the optimal projection, is effective in the image generation task. In this paper, we investigate the effectiveness of SAN in the vocoding task. For this purpose, we propose a scheme to modify least-squares GAN, which most GAN-based vocoders adopt, so that their loss functions satisfy the requirements of SAN. Through our experiments, we demonstrate that SAN can improve the performance of GAN-based vocoders, including BigVGAN, with small modifications. Our code is available at https://github.com/sony/bigvsan.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 34 of its 42 references that are in the map. First posted on arXiv 6 Sep 2023.

Builds on

34 of 42 references.

References · 34

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  2. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  3. 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,339
  4. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
  5. 2016Least Squares Generative Adversarial Networkscited by 1,000
  6. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 800
  7. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 710
  8. 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
  9. 2017Wasserstein GANcited by 635
  10. 2020WaveGrad: Estimating Gradients for Waveform Generationcited by 620
  11. 2021Tackling the Generative Learning Trilemma with Denoising Diffusion GANscited by 515
  12. 2016f-GAN: Training Generative Neural Samplers using Variational Divergence Minimizationcited by 504
22 more
  1. 2022StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasetscited by 489
  2. 2019MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesiscited by 351
  3. 2019Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogramcited by 337
  4. 2018WaveGlow: A Flow-based Generative Network for Speech Synthesiscited by 308
  5. 2022BigVGAN: A Universal Neural Vocoder with Large-Scale Trainingcited by 245
  6. 2017Geometric GANcited by 232
  7. 2018Efficient Neural Audio Synthesiscited by 218
  8. 2017Parallel WaveNet: Fast High-Fidelity Speech Synthesiscited by 214
  9. 2017SEGAN: Speech Enhancement Generative Adversarial Networkcited by 165
  10. 2020Neural Networks Fail to Learn Periodic Functions and How to Fix Itcited by 97
  11. 2021PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Priorcited by 78
  12. 2018ClariNet: Parallel Wave Generation in End-to-End Text-to-Speechcited by 70
  13. 2018FloWaveNet : A Generative Flow for Raw Audiocited by 54
  14. 2019WaveFlow: A Compact Flow-based Model for Raw Audiocited by 51
  15. 2021Chunked Autoregressive GAN for Conditional Waveform Synthesiscited by 38
  16. 2022SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shapingcited by 37
  17. 2023SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layercited by 14
  18. 2023Investigating Range-Equalizing Bias in Mean Opinion Score Ratings of Synthesized Speechcited by 13
  19. 2022Hierarchical Diffusion Models for Singing Voice Neural Vocodercited by 10
  20. 2020NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexitycited by 9
  21. 2021VocBench: A Neural Vocoder Benchmark for Speech Synthesiscited by 8
  22. 2019Generative adversarial network-based glottal waveform model for statistical parametric speech synthesiscited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 2; 2026: 1.

6 papers.