HybridCodec unifies SSL distillation and dual-stream design in a neural audio codec for improved semantic specialization, competitive reconstruction, and faster inference.
Codec does matter: exploring the semantic shortcoming of codec for audio language model,
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EntangleCodec unifies semantic and acoustic audio tokenization via caption alignment and flow-matching decoding, reporting competitive reconstruction, +7.4% gains on MMAR understanding, and 0.6B-parameter ALMs surpassing 13B-parameter continuous baselines.
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HybridCodec: Fast Dual-Stream, Semantically Enhanced Neural Audio Codec
HybridCodec unifies SSL distillation and dual-stream design in a neural audio codec for improved semantic specialization, competitive reconstruction, and faster inference.
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EntangleCodec: A Unified Discrete Audio Tokenizer via Semantic-Acoustic Entanglement
EntangleCodec unifies semantic and acoustic audio tokenization via caption alignment and flow-matching decoding, reporting competitive reconstruction, +7.4% gains on MMAR understanding, and 0.6B-parameter ALMs surpassing 13B-parameter continuous baselines.