Scicom-intl/Melati
Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections. 54 hours of Malaysian podcast speech in 47,966 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal sounds, whispering, fillers and the sounds around the speech. Code, every model's evaluation and the comparison with Emilia-Pipe on the same recordings: Melati on GitHub Source: malaysia-ai/malaysian-podcast-youtube, the podcasts behind… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/Melati.
| Author / organization | Scicom-intl |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 823 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 October 2026 |
| Last updated at source | 11 November 2026 |
Popularity, last 17 days
823 now (+823 since 2026-10-25). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 11 Nov 2026 Description: Melati Work in progress. A partial release: it holds 6,912 of the source's 19,092 recordings, 108 of its 299 shards, and the rest will be added in later releases. The columns, tags and numbers may change as it grows; every number on this ca → Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections. 54 hours of Malaysian podcast speech in 47,966 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal soun
- 29 Oct 2026 Description: Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections: 591 hours of Malaysian podcast speech in 355,477 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal so → Melati Work in progress. A partial release: it holds 6,912 of the source's 19,092 recordings, 108 of its 299 shards, and the rest will be added in later releases. The columns, tags and numbers may change as it grows; every number on this ca
- 28 Oct 2026 Description: Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections: 591 hours of Malaysian podcast speech in 355,477 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal so → Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections: 591 hours of Malaysian podcast speech in 355,477 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal so
- 28 Oct 2026 Topics added audioset
- 27 Oct 2026 Description: Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections: 30 hours of Malaysian podcast speech in 18,562 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal soun → Melati Multilingual Expressive speech, Labelled for Affect, Tags and Interjections: 591 hours of Malaysian podcast speech in 355,477 segments, each with its transcript, word times, speaker, quality scores and tags for emotion, non-verbal so
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 11 November 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.