Scicom-intl/Emilia-YODAS-Voice-Conversion
Emilia-YODAS-Voice-Conversion We sample https://huggingface.co/datasets/amphion/Emilia-Dataset YODAS set for voice conversion. Filter transcriptions based on character repetitiveness and word ngrams. Filter speaker similarity using https://huggingface.co/nvidia/speakerverification_en_titanet_large during speaker permutation. Convert audio to speech tokens using https://huggingface.co/neuphonic/neucodec We also upload the full permutation as zip files. Speech… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/Emilia-YODAS-Voice-Conversion.
| Author / organization | Scicom-intl |
|---|---|
| Downloads | 211 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 20 September 2025 |
| Last updated at source | 9 February 2026 |
Popularity, last 3 days
211 now (+9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Multilingual-TTS-1.7B-v0.1-i1-GGUFModel · used to train
- mradermacher/Multilingual-TTS-1.7B-Base-GGUFModel · used to train
- mradermacher/Multilingual-TTS-4B-Base-GGUFModel · used to train
- mradermacher/Multilingual-TTS-0.6B-Base-GGUFModel · used to train
- mradermacher/Multilingual-TTS-1.7B-GGUFModel · used to train
- mradermacher/Multilingual-TTS-1.7B-i1-GGUFModel · used to train
- mradermacher/Multilingual-TTS-1.7B-Base-i1-GGUFModel · used to train
- Scicom-intl/Multilingual-TTS-1.7B-BaseModel · used to train
Recent changes
- 16 Oct 2026 Description: Emilia-YODAS-Voice-Conversion We sample https://huggingface.co/datasets/amphion/Emilia-Dataset YODAS set for voice conversion. Filter transcriptions based on character repetitiveness and word ngrams. Filter speaker similarity using https:// → Emilia-YODAS-Voice-Conversion We sample https://huggingface.co/datasets/amphion/Emilia-Dataset YODAS set for voice conversion. Filter transcriptions based on character repetitiveness and word ngrams. Filter speaker similarity using https://
Changes detected by Silytics between refreshes of the source.
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