SEGAN | PyTorch implementation of SEGAN | Speech library

by leftthomas Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | SEGAN Summary

SEGAN is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Pytorch, Generative adversarial networks applications. SEGAN has no bugs, it has no vulnerabilities and it has low support. However SEGAN build file is not available. You can download it from GitHub.

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper SEGAN: Speech Enhancement Generative Adversarial Network.

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Quality

Security

License

Reuse

Support

SEGAN has a low active ecosystem.

It has 85 star(s) with 34 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 15 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SEGAN is current.

Quality

SEGAN has 0 bugs and 0 code smells.

Security

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

SEGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SEGAN does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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

SEGAN saves you 197 person hours of effort in developing the same functionality from scratch.

It has 485 lines of code, 19 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the mean and variance of x
Normalize a vector
Calculate the mean squared mean squared error
Serialize and save audio files
Generate a list of slices for a signal
Generate a reference batch
Emphasis a signal
Emulate emphasis
Verify that audio data is valid
Generate a list of slices of a signal

Get all kandi verified functions for this library.

SEGAN Key Features

No Key Features are available at this moment for SEGAN.

SEGAN Examples and Code Snippets

No Code Snippets are available at this moment for SEGAN.

Community Discussions

Trending Discussions on SEGAN

Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model

How does a shell script read the data in a batch test folder

QUESTION

Attempt to call local 'callback' (a nil value) error while trying to train SeGAN model

Asked 2021-Jan-06 at 11:11

I am trying to implement the "SeGAN: Segmenting and Generating the invisible" paper on ubuntu 18.04 with Geforce RTX 2060. I have installed the Driver, CUDA, cuDNN, Torch7 and dependencies and downloaded and extracted the dataset and weights folders and made a link to them. I tried to train the model with this line of code:

...

ANSWER

Answered 2021-Jan-06 at 11:11

From the linked GitHub repo:

End2EndNetwork.lua line 81

Source https://stackoverflow.com/questions/65594137

QUESTION

How does a shell script read the data in a batch test folder

Asked 2019-Jan-17 at 23:01

I recently replicated a SEGAN experiment based on TensorFlow0.12.1.The author provides a shell script for testing (clean_wav.sh), as shown in the figure below:

This is the original version provided by the author. According to the path of my test data, the modified version is as follows:

Noisy_testset_wav_16k is my test data folder, but running the script system will report an error:

This folder is a directory, but when I change the path to:

...

ANSWER

Answered 2019-Jan-17 at 23:01

The code is written in the way it only processes file, you can add a loop in shell script to process all files in the folder:

Source https://stackoverflow.com/questions/54237865

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

Vulnerabilities

No vulnerabilities reported

Install SEGAN

You can download it from GitHub.
You can use SEGAN 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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