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Tel-Aviv University, Facebook AI Research
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Neural audio codecs compress waveforms into compact discrete tokens that underpin speech language models, real-time communication, and large-scale audio storage. Almost every dominant design, including residual vector quantization, finite scalar quantization, and single-codebook variants, follows the VQ-VAE template by...
This work introduces Iterative Latent Representation Refinement (ILRR), an efficient framework for steering DLMs using a reference text as a high-level semantic blueprint and introduces Spatially Modulated Steering, an extension that enables long-form generation to be guided by shorter references by regulating intensit...
SIEDD, a discrete diffusion framework for text-guided speech inpainting and editing over hierarchical codec tokens, is introduced and results demonstrate that explicitly modeling the codec hierarchy substantially improves context-preserving speech reconstruction and editing.
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