NMFRandomiz | extreme sound processing using audio source separation

by g-roma Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | NMFRandomiz Summary

NMFRandomiz is a Python library. NMFRandomiz has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NMFRandomiz build file is not available. You can download it from GitHub.

A program for extreme sound processing using audio source separation. This hack explores alternative uses of non-negative matrix factorization for mangling sounds in unexpected ways. Science of Music Hackathon (HAMR2016)

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Quality

Security

License

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Support

NMFRandomiz has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

NMFRandomiz has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NMFRandomiz is current.

Quality

NMFRandomiz has no bugs reported.

Security

NMFRandomiz has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

NMFRandomiz is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

NMFRandomiz releases are not available. You will need to build from source code and install.

NMFRandomiz has no build file. You will be need to create the build yourself to build the component from source.

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NMFRandomiz Key Features

No Key Features are available at this moment for NMFRandomiz.

NMFRandomiz Examples and Code Snippets

No Code Snippets are available at this moment for NMFRandomiz.

Community Discussions

No Community Discussions are available at this moment for NMFRandomiz.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install NMFRandomiz

You can download it from GitHub.
You can use NMFRandomiz like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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