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There were a few issues across the various modules that didn't allow tokenization and reconstruction to work:

  1. They use a mel spec directly, not log scaled.
  2. Fixes in the ECAPA_TDNN encoder, Perceiver resamples, and factorized vector quantizer for residuals / norms.

With this I can get matching semantic & global tokenization and detokenization with the torch version.

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@Blaizzy Blaizzy left a comment

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Thanks @lucasnewman this fixes the voice cloning ✅

LGTM!

@Blaizzy Blaizzy merged commit bd54740 into Blaizzy:main May 12, 2025
@Blaizzy Blaizzy linked an issue May 13, 2025 that may be closed by this pull request
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@lucasnewman lucasnewman deleted the more-spark-fixes branch May 18, 2025 19:02
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SparkTTS Voice cloning (Wav2vec)

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