Add it_IT-serena-medium and it_IT-serena-high (Italian)
#95
by bacca87 - opened
New Italian voice for the catalog: serena β female, neutral Standard
Italian (no regional accent).
- Language: it_IT (Italian, Italy)
- Quality: medium, 22,050 Hz
- Dataset: committa/serena-synthetic-it-27h (CC-BY-4.0)
- Training: trained from scratch (94 epochs, ~27 h of audio)
- Recommended inference settings (embedded in the .onnx.json):
noise_scale 0.6 / length_scale 1.0 / noise_w 0.4
Original model repos:
- Voice: https://huggingface.co/committa/it_IT-serena-medium
- Training checkpoint (base for finetuning other Italian voices):
https://huggingface.co/committa/it_IT-serena-medium-checkpoint
Files follow the piper-voices layout and pass the voicefest.py checks
(structure, config, naming). voices.json was regenerated accordingly.
bacca87 changed pull request title from Add it_IT-serena-medium (Italian, medium) to Add it_IT serena medium and high
bacca87 changed pull request title from Add it_IT serena medium and high to Test
bacca87 changed pull request title from Test to Add it_IT-serena-medium and it_IT-serena-high (Italian)
New Italian voices for the catalog: serena - female, neutral Standard
Italian (no regional accent), in two quality tiers.
- Language: it_IT (Italian, Italy)
- Quality: medium and high, 22,050 Hz
- Dataset: committa/serena-synthetic-it-27h (CC-BY-4.0)
- Training: trained from scratch (medium: 94 epochs, high: 99 epochs, ~27 h of audio)
- Recommended inference settings (embedded in the .onnx.json):
noise_scale 0.6 / length_scale 1.0 / noise_w 0.4
Original model repos:
- Voice (medium): https://huggingface.co/committa/it_IT-serena-medium
- Voice (high): https://huggingface.co/committa/it_IT-serena-high
- Training checkpoints (base for finetuning other Italian voices):
medium: https://huggingface.co/committa/it_IT-serena-medium-checkpoint
high: https://huggingface.co/committa/it_IT-serena-high-checkpoint
Files follow the piper-voices layout and pass the voicefest.py checks
(structure, config, naming). voices.json was regenerated accordingly
(entries for both it_IT-serena-medium and it_IT-serena-high).