Instructions to use Fhrozen/tts_prodiff_jp_multispk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use Fhrozen/tts_prodiff_jp_multispk with ESPnet:
from espnet2.bin.tts_inference import Text2Speech model = Text2Speech.from_pretrained("Fhrozen/tts_prodiff_jp_multispk") speech, *_ = model("text to generate speech from") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - espnet | |
| - audio | |
| - text-to-speech | |
| language: | |
| - ja | |
| datasets: | |
| - jvs | |
| license: cc-by-4.0 | |
| inference: false | |
| ## TTS model (Japanese) - ProDiff with GST + X-Vector | |
| **No support given.** | |
| ### Details | |
| ``` | |
| num_iters_per_epoch: 250 | |
| max_epoch: 600 | |
| batch_bins: 6000000 | |
| tts_conf: | |
| spk_embed_dim: 192 | |
| ``` | |