--- library_name: piper license: cc-by-4.0 language: - it tags: - text-to-speech - tts - piper - checkpoint - finetuning datasets: - committa/serena-synthetic-it-27h --- # it_IT-serena — Piper training checkpoint (Italian, medium) Finetuning base checkpoint for Piper TTS (VITS), trained **from scratch** on Italian. - Model: piper (piper_train), quality **medium**, 22.05 kHz - Base voice: **serena** — female, neutral Standard Italian (no regional accent), synthetic - Training: **94 epochs** from scratch, batch 10, 29,470 clips (27 h) - Dataset: [committa/serena-synthetic-it-27h](https://huggingface.co/datasets/committa/serena-synthetic-it-27h) - File: `epoch=94-step=559930.ckpt` — **keep this filename** (piper_train convention: `epoch=N-step=M`), which tooling uses to pick the highest checkpoint ## Why this checkpoint Piper publishes **no official pretrained checkpoint for Italian** (the `rhasspy/piper-checkpoints` catalog has no `it` entry; the only official Italian voices are `it_IT-paola-medium`, which was finetuned from a U.S. English base, and `it_IT-riccardo-x_low`, trained from scratch at x_low quality — neither exposes a trainable checkpoint). This is the only public Italian **medium** checkpoint that can be used as a finetuning base. ## Sample Audio of the base voice (it_IT-serena-medium): ## Use as a base for finetuning other Italian voices Any checkpoint of the same quality config (medium) can be resumed with piper_train: ```sh python -m piper_train \ --dataset-dir /path/to/your_voice_training_folder \ --resume_from_checkpoint epoch=94-step=559930.ckpt \ --quality medium ``` Because the base already speaks Italian (correct phonemes and prosody), a new Italian voice converges in **far fewer epochs** than from scratch — and with less data. This works for **both female and male target voices**: the timbre is learned from the new dataset, so with enough epochs the new voice fully takes over. ## License CC-BY-4.0 — derived from [committa/serena-synthetic-it-27h](https://huggingface.co/datasets/committa/serena-synthetic-it-27h). If you use this checkpoint to build a voice, credit the dataset and this model.