Open-Set Ego-Noise Separation for Legged-Robot Audition via Annotation-Free Adaptation and Pretrained-Model Transfer
cs.RO
Submitted: 2026-09-07
Updated: 2026-10-13
Code: https://github.com/kokieto/EgoNoiseSeparation
Project page: https://kokieto.github.io/EgoNoiseSeparation
Terminology
Sources
- Robust Ladder Climbing with a Quadrupedal Robot
- Anomalous Sound Detection with Machine Learning: A Systematic Review
- ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
- SAM Audio: Segment Anything in Audio
- Movie Gen: A Cast of Media Foundation Models
- Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
- SAM Audio Judge: A Unified Multimodal Framework for Perceptual Evaluation of Audio Separation
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies