deep-voice-conversion | Deep neural networks for voice conversion | Machine Learning library

by andabi Python Version: Current License: MIT

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

kandi X-RAY | deep-voice-conversion Summary

deep-voice-conversion is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. deep-voice-conversion has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

Support

Quality

Security

License

Reuse

Support

deep-voice-conversion has a medium active ecosystem.

It has 3864 star(s) with 849 fork(s). There are 161 watchers for this library.

It had no major release in the last 6 months.

There are 91 open issues and 37 have been closed. On average issues are closed in 59 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deep-voice-conversion is current.

Quality

deep-voice-conversion has no bugs reported.

Security

deep-voice-conversion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

deep-voice-conversion 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

deep-voice-conversion 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.

Top functions reviewed by kandi - BETA

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

Convert a wav file into MFCCs
Normalize a db
Convert WAV to Mel spectrogram
Preemphasis a word
Runs the conversion
Convert a Dataset
Initiate a preemphasis
Denormalize a normalized db
Build the graph
Computes the softmax loss
Calculate the sum of the predictions
Connects the prenet model
Builds the graph
Build the prenet network
Compute loss
Basic CBHG
Evaluate the network
Load vocabulary
Plot a confusion matrix
Set hyperparameters
Auto set logdir
Generate the MfCCs and spectrogram
Train the network
Get MfCCs and phones
Remove all files in path
Parse arguments

Get all kandi verified functions for this library.

deep-voice-conversion Key Features

No Key Features are available at this moment for deep-voice-conversion.

deep-voice-conversion Examples and Code Snippets

No Code Snippets are available at this moment for deep-voice-conversion.

Community Discussions

Trending Discussions on deep-voice-conversion

I have just completed fast.ai course, any suggestion on how to get this machine learning project work on Colab?

pycharm and tensorflow-gpu; DLL not found

QUESTION

I have just completed fast.ai course, any suggestion on how to get this machine learning project work on Colab?

Asked 2019-Jun-02 at 16:47

I am new to Machine Learning, but I have basic knowledge in programming.

I have just completed fast.ai course and I know how to use Google Colab.

But I still have no idea on how to get this project work on Colab.

I have just created a new notebook, and set up the environment,

I run

...

ANSWER

Answered 2019-Jun-02 at 16:47

Based on the Requirements in GitHub you should install and import following libraries not only Keras (actually it hasn;t mentioned you need Keras! it's mentioned Tensorflow clearly nevertheless you can use Keras if you modify the codes):

Tensorflow >= 1.1
Numpy >= 1.11.1
Librosa == 0.5.1

You can follow these videos tp learn how you install libraries in colab less than 2 mins:

Install TensorFlow 2.0 with GPU in Google CoLab

Getting Started with TensorFlow in Google Colaboratory (Coding TensorFlow)

Source https://stackoverflow.com/questions/56416664

QUESTION

pycharm and tensorflow-gpu; DLL not found

Asked 2018-Dec-28 at 17:06

I am trying to get a github repository to work on my pc. This repository is based on tensorflow-gpu. Currently, when I try to run the code, I get the following error:

...

ANSWER

Answered 2018-Dec-28 at 17:06

protobuf seems to be a conda package. Try installing it with

Source https://stackoverflow.com/questions/53952370

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

Vulnerabilities

No vulnerabilities reported

Install deep-voice-conversion

You can download it from GitHub.
You can use deep-voice-conversion 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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