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CodecSep enables prompt-driven sound separation in neural audio codec latents

Researchers have developed CodecSep, a new framework for prompt-driven sound separation that operates directly within neural audio codec latent spaces. This approach allows for open-vocabulary separation of audio sources with significantly reduced computational cost compared to existing methods. CodecSep integrates a frozen DAC backbone with a lightweight Transformer masker, enabling efficient, low-latency deployment on edge devices and in codec-mediated transmission pipelines. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enables more efficient and flexible audio editing and source extraction on edge devices and in real-time transmission.

RANK_REASON This is a research paper detailing a new framework for audio processing.

Read on arXiv cs.LG →

COVERAGE [1]

  1. arXiv cs.LG TIER_1 · Adhiraj Banerjee, Vipul Arora ·

    CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents

    arXiv:2509.11717v5 Announce Type: replace-cross Abstract: Text-guided sound separation enables flexible audio editing, assistive listening, and open-domain source extraction, but systems such as AudioSep remain too expensive for low-latency edge or codec-mediated deployment. Exis…