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Author

Pavel Padernob

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Conference Aug 2026

Codebook refinement transformer: post-retrieval correction for neural codec voice conversion

We propose the Codebook Refinement Transformer (CRT), a non-autoregressive model that improves retrieval-based voice conversion on discrete neural audio codec tokens. CRT operates on the Mimi codec’s hierarchical residual vector quantized (RVQ) token space using a Conformer backbone with Feature-wise Linear Modulation...

Q. Nguyen, Duc Tran, D. Phan et al. · 0 citations

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