mlsanityData to 7 Oct 2026

One Billion Audio Sounds from GPU-enabled Modular Synthesis

arXiv 2104.12922 ↗First posted 27 Apr 2021cs.SD cs.AI cs.LGcited by 11

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Abstract (arXiv)

We release synth1B1, a multi-modal audio corpus consisting of 1 billion 4-second synthesized sounds, paired with the synthesis parameters used to generate them. The dataset is 100x larger than any audio dataset in the literature. We also introduce torchsynth, an open source modular synthesizer that generates the synth1B1 samples on-the-fly at 16200x faster than real-time (714MHz) on a single GPU. Finally, we release two new audio datasets: FM synth timbre and subtractive synth pitch. Using these datasets, we demonstrate new rank-based evaluation criteria for existing audio representations. Finally, we propose a novel approach to synthesizer hyperparameter optimization.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 24 of its 41 references that are in the map. First posted on arXiv 27 Apr 2021.

Builds on

24 of 41 references.

References · 24

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12 more
  1. 2013A Theoretical Analysis of NDCG Type Ranking Measurescited by 119
  2. 2021BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representationcited by 106
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  5. 2020A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differencescited by 22
  6. 2020I'm Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitchcited by 17
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  12. 2020Timbre Space Representation of a Subtractive Synthesizercited by 1

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Cited by year

Citing papers per year: 2021: 1; 2022: 3; 2023: 0; 2024: 4; 2025: 3.

11 papers.