wavegan | synthesize raw audio with generative adversarial networks | Machine Learning library

by chrisdonahue Python Version: v2 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | wavegan Summary

wavegan is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. wavegan has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However wavegan build file is not available. You can download it from GitHub.

Official implementation of WaveGAN, a machine learning algorithm which learns to generate raw audio waveforms.

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Quality

Security

License

Reuse

Support

wavegan has a medium active ecosystem.

It has 1201 star(s) with 266 fork(s). There are 47 watchers for this library.

It had no major release in the last 6 months.

There are 44 open issues and 59 have been closed. On average issues are closed in 13 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of wavegan is v2

Quality

wavegan has 0 bugs and 0 code smells.

Security

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

wavegan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

wavegan 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

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

wavegan 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.

wavegan saves you 1071 person hours of effort in developing the same functionality from scratch.

It has 2427 lines of code, 52 functions and 26 files.

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

Top functions reviewed by kandi - BETA

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

Decode and batch of audio files .
A waveGAN generator .
Run incept .
Wavegiscriminator layer .
Compute an inception score .
Evaluate TFRecord .
Create a preview of the graph .
Generator for SpecGAN .
Compute the Mel - Shannon model .
Decode an audio file .

Get all kandi verified functions for this library.

wavegan Key Features

No Key Features are available at this moment for wavegan.

wavegan Examples and Code Snippets

Official codes for WaveGAN: An Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022),Please refer to ./networks/lofgan for core codes of our WaveGAN:

Python

Lines of Code : 61

License : No License

Copy

def get_wav(in_channels, pool=True):
    harr_wav_L = 1 / np.sqrt(2) * np.ones((1, 2))
    harr_wav_H = 1 / np.sqrt(2) * np.ones((1, 2))
    harr_wav_H[0, 0] = -1 * harr_wav_H[0, 0]
    harr_wav_LL = np.transpose(harr_wav_L) * harr_wav_L
    harr_wav

Quasi-Periodic Parallel WaveGAN (QPPWG),Usage of pre-trained models,Analysis-synthesis

Python

Lines of Code : 46

License : Permissive (MIT)

Copy

# Make sure you have installed `qppwg`
# If not, install it via pip
$ pip install qppwg
# Take "vcc18" corpus as an example
# Download the whole folder of "vcc18"
$ ls vcc18
  data    exp
# Change directory to `vcc18` folder
$ cd vcc18
# Put audio

Quasi-Periodic Parallel WaveGAN (QPPWG),Citation

Python

Lines of Code : 18

License : Permissive (MIT)

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@inproceedings{qppwg_2020,
author={Yi-Chiao Wu and Tomoki Hayashi and Takuma Okamoto and Hisashi Kawai and Tomoki Toda},
title={{Quasi-Periodic Parallel WaveGAN Vocoder: A Non-Autoregressive Pitch-Dependent Dilated Convolution Model for Parametric Sp

Community Discussions

Trending Discussions on wavegan

How to get array of objects in javascript from an array of dictionaries in python?

QUESTION

How to get array of objects in javascript from an array of dictionaries in python?

Asked 2021-Jul-06 at 14:26

I'm trying to use an array of dictionaries in python as arguement to a custom dash component and use it as array of objects

in python :

...

ANSWER

Answered 2021-Jul-06 at 08:50

Make sure you run npm run build after you make a change to your custom React component. With those proptypes you shouldn't get that error. If I remove the audios proptype I can reproduce that error.

Besides that you pass a value to the audios property:

Source https://stackoverflow.com/questions/68262836

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

Vulnerabilities

No vulnerabilities reported

Install wavegan

You can download it from GitHub.
You can use wavegan 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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