Sign inGet started
Dataset · Hugging Face

dolly-vn/dolly-audio-1000h-vietnamese

Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus Dataset Summary Dolly-Audio is a large-scale, high-quality Vietnamese speech corpus created by the Dolly AI Team. Inspired by Dolly, the world’s first cloned mammal, the project aims to advance research in Vietnamese speech synthesis, speech recognition, and voice modeling. This release provides nearly 1,000 hours of professionally cleaned audio, featuring 152 speakers across different Vietnamese… See the full description on the dataset page: https://huggingface.co/datasets/dolly-vn/dolly-audio-1000h-vietnamese.

Author / organizationdolly-vn
Downloads1K (as reported by Hugging Face)
Likes61
Created24 November 2025
Last updated at source24 November 2025
vietnamesesyntheticaudiotts
Embed this entry
<iframe src="https://silytics.si/embed/item/e0653321-c9dc-4d42-8456-559484bdbfa6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,003 now (-33 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus Dataset Summary Dolly-Audio is a large-scale, high-quality Vietnamese speech corpus created by the Dolly AI Team. Inspired by Dolly, the world’s first cloned mammal, the proje → Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus Dataset Summary Dolly-Audio is a large-scale, high-quality Vietnamese speech corpus created by the Dolly AI Team. Inspired by Dolly, the world’s first cloned mammal, the proje

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.