A hybrid two-stage framework pairs a discriminative front-end for interference suppression with a generative decoder-only LM back-end to improve perceptual quality and speaker consistency in target speaker extraction and speech enhancement.
Llase-g1: Incentivizing generalization capability for llama-based speech enhancement
2 Pith papers cite this work. Polarity classification is still indexing.
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eess.AS 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
PhASE-Flow performs phonetic-conditioned acoustic flow matching entirely in SSL representation space for speech enhancement and reports competitive perceptual quality with only four sampling steps.
citing papers explorer
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Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models
A hybrid two-stage framework pairs a discriminative front-end for interference suppression with a generative decoder-only LM back-end to improve perceptual quality and speaker consistency in target speaker extraction and speech enhancement.
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PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech Enhancement
PhASE-Flow performs phonetic-conditioned acoustic flow matching entirely in SSL representation space for speech enhancement and reports competitive perceptual quality with only four sampling steps.