Comments (2)
The method is not working in real time, and I wouldn't recommend using it for this purpose.
The core idea and contribution of our paper is to present the strong unsupervised priors of deep neural networks in the audio domain.
I hope that in the future we will find a way for utilizing those priors into a fast feed-forward algorithms, but further research has to be done both in image and audio domains.
from dnp.
Ok thanks,
from dnp.
Related Issues (10)
- 8 sec audio file takes a very long time to process HOT 1
- UnsatisfiableError: The following specifications were found to be incompatible with each other: HOT 1
- Can this be used as a noise cleansing from audio ? HOT 1
- couldn't find "v_addnoise" matlab function
- Issue on another audio file HOT 2
- Source file sample rate considerations HOT 1
- Cant install modules...in Jupyter HOT 1
- trying to setup environment per instructions results in package not found error HOT 2
- CUDA out of memory HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dnp.