parler-tts/mls-eng-speaker-descriptions
Dataset Card for Annotations of English MLS This dataset consists in annotations of the English subset of the Multilingual LibriSpeech (MLS) dataset. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It includes about 44.5K hours of English and a total of about 6K hours for other languages. This… See the full description on the dataset page: https://huggingface.co/datasets/parler-tts/mls-eng-speaker-descriptions.
| Author / organization | parler-tts |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 532 (as reported by Hugging Face) |
| Likes | 13 |
| Created | 13 June 2024 |
| Last updated at source | 8 August 2024 |
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532 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- parler-tts/parler-tts-mini-multilingualModel · used to train
- parler-tts/parler-tts-tiny-v1Model · used to train
- parler-tts/parler-tts-large-v1Model · used to train
- parler-tts/parler-tts-mini-v1.1Model · used to train
- parler-tts/parler-tts-mini-v1Model · used to train
- parler-tts/parler-tts-mini-multilingual-v1.1Model · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for Annotations of English MLS This dataset consists in annotations of the English subset of the Multilingual LibriSpeech (MLS) dataset. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is de → Dataset Card for Annotations of English MLS This dataset consists in annotations of the English subset of the Multilingual LibriSpeech (MLS) dataset. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is de
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.