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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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