KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
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Updated
May 23, 2024 - Jupyter Notebook
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
Unofficial PyTorch implementation of Higgs Audio V2 Tokenizer with HuBERT semantic features. Complete training pipeline for semantic-acoustic audio tokenization with 960x downsampling and 8-layer RVQ.
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