Instructions to use infiniatechnologies/magpie-tts-13lang-357m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use infiniatechnologies/magpie-tts-13lang-357m with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -34,6 +34,8 @@ tags:
|
|
| 34 |
|
| 35 |
# Magpie-TTS 13-Language (357M) — with Swahili
|
| 36 |
|
|
|
|
|
|
|
| 37 |
A single **13-language** text-to-speech checkpoint: the twelve languages of NVIDIA's
|
| 38 |
[`magpie_tts_multilingual_357m`](https://huggingface.co/nvidia/magpie_tts_multilingual_357m)
|
| 39 |
(Arabic, German, English, Spanish, French, Hindi, Italian, Japanese, Korean,
|
|
|
|
| 34 |
|
| 35 |
# Magpie-TTS 13-Language (357M) — with Swahili
|
| 36 |
|
| 37 |
+
📄 **Paper:** *Cross-Lingual Grafting: Extending Frozen Codec Speech Language Models to Unseen Low-Resource Languages* — [PDF](./Cross-Lingual-Grafting.pdf).
|
| 38 |
+
|
| 39 |
A single **13-language** text-to-speech checkpoint: the twelve languages of NVIDIA's
|
| 40 |
[`magpie_tts_multilingual_357m`](https://huggingface.co/nvidia/magpie_tts_multilingual_357m)
|
| 41 |
(Arabic, German, English, Spanish, French, Hindi, Italian, Japanese, Korean,
|