logmmse | LogMMSE speech enhancement/noise reduction | Speech library

by rajivpoddar Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | logmmse Summary

logmmse is a Python library typically used in Artificial Intelligence, Speech applications. logmmse has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A python implementation of the LogMMSE speech enhancement/noise reduction alogrithm.

Support

Quality

Security

License

Reuse

Support

logmmse has a low active ecosystem.

It has 55 star(s) with 21 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of logmmse is current.

Quality

logmmse has 0 bugs and 0 code smells.

Security

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

logmmse code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

logmmse 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

logmmse saves you 55 person hours of effort in developing the same functionality from scratch.

It has 145 lines of code, 6 functions and 5 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed logmmse and discovered the below as its top functions. This is intended to give you an instant insight into logmmse implemented functionality, and help decide if they suit your requirements.

Create a logmmSE from a file
Calculate the log - likelihood of a time series
Performs a logMMSE operation on a mono channel
Convert wave file to numpy array
Convert to float

Get all kandi verified functions for this library.

logmmse Key Features

No Key Features are available at this moment for logmmse.

logmmse Examples and Code Snippets

No Code Snippets are available at this moment for logmmse.

Community Discussions

Trending Discussions on logmmse

error : 'module' object is not callable when using logmmse

QUESTION

error : 'module' object is not callable when using logmmse

Asked 2020-Apr-02 at 10:50

I am trying to reduce noise in my audio_file and want to have an output file which doesn't contain noise, and I use the logmmse library:

I use this code:

...

ANSWER

Answered 2020-Apr-02 at 10:44

As the error states, you are trying to call the module itself. I suppose what you're trying to do is use the logmmse function inside the logmmse module, so you should do:

Source https://stackoverflow.com/questions/60989606

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

Vulnerabilities

No vulnerabilities reported

Install logmmse

You can download it from GitHub.
You can use logmmse 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.