Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments

Daniel Johnson, Daniel Gorelik, Ross E. Mawhorter, Kyle Suver, Weiqing Gu, Steven Xing, Cody Gabriel, Peter Sankhagowit

Nov-20-2025, 17:41:28 GMT–Neural Information Processing Systems

We present an approach for simultaneously separating and localizing multiple sound sources using recorded microphone data.

artificial intelligence, machine learning, microphone, (19 more...)

Neural Information Processing Systems

Nov-20-2025, 17:41:28 GMT

Conferences PDF

Country:
- North America
  - United States
    - Oregon > Washington County
      - Hillsboro (0.04)
    - California > Los Angeles County
      - Claremont (0.04)
  - Canada > Quebec
    - Montreal (0.04)
- Europe > Netherlands
  - South Holland > Dordrecht (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.94)
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (0.46)

Duplicate Docs Excel Report

Title
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments

Similar Docs Excel Report more

Title	Similarity	Source
None found