SOTA discrete acoustic codec models with 40 tokens per second for audio language modeling
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Updated
Dec 2, 2024 - Python
SOTA discrete acoustic codec models with 40 tokens per second for audio language modeling
A library built for easier audio self-supervised training, downstream tasks evaluation
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings
Tensorflow2 implementation of Data-driven Harmonic Filters for Audio Representation Learning
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