| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 8 | |
| Section | Intelligent Computing in Healthcare and Bioinformatics | |
| DOI | https://doi.org/10.1051/itmconf/20268401006 | |
| Published online | 06 April 2026 | |
Analysis of the Evolution Path of the NVIDIA Granary Speech Dataset
School of Computer Science, Guangdong University of Science and Technology, Dongguan, China
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Today in the development of voice AI, it faces a big obstacle, called a “linguistic ecosystem imbalance” because the amount of minor language data is very scarce, which makes the model performance difficult, and making it unfair. Grannary: It is Nvidia’s open-sourced speech dataset project announced on August 2025 It has collected around 1 million hours of people’s voice audio. NVIDIA Granary is the first industrial scale speech dataset to cover many minor European languages. It will thus be a landmark for the task. This article seeks to comprehensively understand the development of Granary by researching and comparing versions of the granary: Scale up, language up, quality up, and up to ethics. In this paper, not only to fill the gap on the research about the evolutionary trend of a single dataset, but also to get a concrete industrial-level data building pattern; In the future, it can provide very valuable advice to how to build an even more inclusive, robust and trusted multilingual speech intelligence.
© The Authors, published by EDP Sciences, 2026
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