Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Better noise estimation for adaptive mode #17

Open
lucianodato opened this issue Sep 4, 2016 · 2 comments
Open

Better noise estimation for adaptive mode #17

lucianodato opened this issue Sep 4, 2016 · 2 comments
Labels
dsp enhancement DSP improvements

Comments

@lucianodato
Copy link
Owner

lucianodato commented Sep 4, 2016 •
edited
Loading

Better noise estimation algorithms
@lucianodato
Copy link
Owner Author

lucianodato commented Feb 7, 2017 •
edited
Loading

Nsabimana, RARS approach seem to be a better option for rapid adaptation

@lucianodato lucianodato added dsp enhancement DSP improvements and removed dsp enhancement DSP improvements labels Jul 3, 2017
@lucianodato lucianodato changed the title Adaptive noise learn Rars and osms noise estimation to replace loizou Jul 13, 2017
@lucianodato lucianodato changed the title Rars and osms noise estimation to replace loizou Rars noise estimation to replace loizou Jul 14, 2017
@lucianodato
Copy link
Owner Author

lucianodato commented Sep 28, 2017 •
edited
Loading

"Unbiased MMSE-Based Noise Power Estimation with Low Complexity and Low Tracking Delay" and "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY" have some good points too

@lucianodato lucianodato changed the title Rars noise estimation to replace loizou Better noise estimation for adaptive mode Sep 28, 2017
@lucianodato lucianodato mentioned this issue Oct 16, 2017
Closed
@lucianodato lucianodato mentioned this issue Apr 7, 2018
Closed
@lucianodato lucianodato transferred this issue from lucianodato/noise-repellent Apr 13, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
dsp enhancement DSP improvements
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@lucianodato