Spatial Audio Generation and Editing with Executable Plans and Self-Distilling Transfusion

Hugging Face Daily Papers Papers

Summary

AMBIT是一个统一框架,通过将自回归场景规划与rectified-flow渲染耦合,实现第一阶Ambisonics(FOA)空间音频的生成与编辑,并利用FOA感知的连续VAE与on-policy自蒸馏来保持空间结构和声学保真度。

Spatial audio authoring coordinates source decisions with soundfield synthesis. For editing, plans specify what to change and retain, while reference audio supplies further acoustic detail. We present AMBIT, a unified framework for native First-Order Ambisonics (FOA) generation and editing with three connected contributions. First, a shared Transfusion backbone couples autoregressive planning with rectified-flow rendering through executable ScenePlans that specify source content, activity, and 3D trajectories. For editing, the plan describes the full target scene, including retained sources; contrastive features ground the requested change, while full reference latents supply residual acoustic detail for preservation. Second, an FOA-aware continuous VAE combines shared-decoder omnidirectional recovery, asymmetric grouped KL, and spatial covariance matching to preserve content and inter-channel structure. Third, joint Transfusion on-policy self-distillation (OPSD) refines planning on student-generated prefixes and rendering at sampling states reached under student plans, with target-conditioned teachers supervising both modes of the shared student. Evaluations across speech, music, and sound show improved generation content and spatial quality, acoustic fidelity during instruction-guided editing, and unedited-source preservation over the compared baselines. Project page: https://wjm-george.github.io/AMBIT/
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Paper page - Spatial Audio Generation and Editing with Executable Plans and Self-Distilling Transfusion

Source: https://huggingface.co/papers/2610.34415

Abstract

AMBIT is a unified framework that generates and edits first-order ambisonics audio by coupling autoregressive scene planning with rectified-flow rendering, using a specialized continuous VAE and on-policy self-distillation to preserve spatial structure and acoustic fidelity.

Spatial audio authoring coordinates source decisions with soundfield synthesis. For editing, plans specify what to change and retain, while reference audio supplies further acoustic detail. We present AMBIT, a unified framework for nativeFirst-Order Ambisonics (FOA)generation and editing with three connected contributions. First, a sharedTransfusionbackbone couplesautoregressive planningwithrectified-flow renderingthrough executableScenePlansthat specify source content, activity, and 3D trajectories. For editing, the plan describes the full target scene, including retained sources;contrastive featuresground the requested change, while fullreference latentssupply residual acoustic detail for preservation. Second, an FOA-awarecontinuous VAEcombines shared-decoder omnidirectional recovery, asymmetricgrouped KL, andspatial covariance matchingto preserve content and inter-channel structure. Third, jointTransfusionon-policy self-distillation (OPSD)refines planning on student-generated prefixes and rendering at sampling states reached under student plans, withtarget-conditioned teacherssupervising both modes of the shared student. Evaluations across speech, music, and sound show improved generation content and spatial quality, acoustic fidelity during instruction-guided editing, and unedited-source preservation over the compared baselines. Project page: https://wjm-george.github.io/AMBIT/

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