Datasets:
Tasks:
Text-to-Speech
Modalities:
Audio
Formats:
soundfolder
Languages:
Portuguese
Size:
< 1K
License:
Bem-te-vi TTS data
Training data for Bem-te-vi TTS, a small, fast Brazilian Portuguese text-to-speech model.
Source audio: Multilingual LibriSpeech Portuguese (CC BY 4.0), 37533 clips, 160.96 h, 16 kHz.
| Path | What |
|---|---|
transcripts.jsonl |
per clip: speaker, book, original MLS text (orig), Whisper large-v3-turbo text (text, via Kestrel; lowercase, no punctuation), text_pause (punctuation from the reader's pauses), word timestamps (words), CER of Whisper vs original (cer), latent frame count |
latents/shard_XX.pt |
dict[id -> float16 tensor [T, 64]], VoxCPM2 AudioVAE latents at 25 Hz (16 kHz in, decodes to 48 kHz) |
decoder_test/ |
original vs VoxCPM2 VAE decode vs EMA Lightning decoder, plus report.json |
summary.json |
hours per speaker, CER stats |
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