asteroid-team / asteroid-team/asteroid
As We Speak: Real-Time Visually Guided Speaker Separation and Localization
Open
question
- Dominant language
- Python
- Stars
- 2.6k
- Forks
- 450
- PR merge metrics
- No merged PRs in 30d
Description
Any plan to implement this kind of paper? For realtime ?
https://ieeexplore.ieee.org/document/9949329
Contributor guide
Research direction
Start by reading the linked IEEE paper and comparing its real-time, visually guided speaker-separation and localization requirements with Asteroid's existing Python and PyTorch capabilities. The issue names no files, tests, or entry points; done would require a decided implementation scope and an agreed way to validate real-time separation and localization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100