wavenet_vocoder | WaveNet vocoder | Speech library

by r9y9 Python Version: v0.1.1 License: Non-SPDX

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

kandi X-RAY | wavenet_vocoder Summary

wavenet_vocoder is a Python library typically used in Artificial Intelligence, Speech, Pytorch applications. wavenet_vocoder has no vulnerabilities, it has build file available and it has medium support. However wavenet_vocoder has 3 bugs and it has a Non-SPDX License. You can download it from GitHub.

WaveNet vocoder

Support

Quality

Security

License

Reuse

Support

wavenet_vocoder has a medium active ecosystem.

It has 2170 star(s) with 490 fork(s). There are 98 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 172 have been closed. On average issues are closed in 20 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of wavenet_vocoder is v0.1.1

Quality

wavenet_vocoder has 3 bugs (0 blocker, 0 critical, 1 major, 2 minor) and 43 code smells.

Security

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

wavenet_vocoder code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

wavenet_vocoder has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

wavenet_vocoder releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

wavenet_vocoder saves you 1386 person hours of effort in developing the same functionality from scratch.

It has 3102 lines of code, 130 functions and 34 files.

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

Top functions reviewed by kandi - BETA

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

Collate input function
Return the hop size
Find the start and end indices of a quantized sequence
Adjust time resolution
A wave generator
Remove weight norm normal
Convert x to numpy array
Sanity check the model
Return a JSON representation of the table
Parse the given values
Restore a model from a given path
Loads a checkpoint from file
Compute the logistic loss
Incrementally optimizer
Forward loss
Parse the values from a JSON string
Compute the loss between the input and target
Apply normalization to a directory
Concatenate the input tensor
Set the number of epochs based on max_steps
Get data loader
Binary wave generator
Process utterance
Train the training loop
Perform the forward computation
Get data loaders

Get all kandi verified functions for this library.

wavenet_vocoder Key Features

No Key Features are available at this moment for wavenet_vocoder.

wavenet_vocoder Examples and Code Snippets

waffler,Arctic voices (ICASSP 2019 experiment),Data preparation

Python

Lines of Code : 32

License : Permissive (Apache-2.0)

Copy

cd $WAFFLER
mkdir database
cd database/

ARCTIC_DB_DIR=http://tts.speech.cs.cmu.edu/awb/cmu_arctic
for VNAME in bdl slt jmk awb rms clb ksp ; do
  wget ${ARCTIC_DB_DIR}/cmu_us_${VNAME}_arctic.tar.bz2 &&
  tar jxvf cmu_us_${VNAME}_arctic.tar.b

Timbre Transfer with VAE-GAN & WaveNet,Tutorial,1. VAE-GAN

Python

Lines of Code : 17

License : No License

Copy

cd data_prep
python flickr --dataroot [path/to/flickr_audio/flickr_audio/]  # For Flickr
python urmp --dataroot [path/to/urmp/]  # For URMP

voice_conversion/data/data_mydataset
├── spkr_1
│   ├── sample.wav
├── spkr_2
│   ├── sample.wav
│   ...
└──

WaveNet vocoder,Misc,Synthesize audio samples for testset

Python

Lines of Code : 5

License : Non-SPDX (NOASSERTION)

Copy

python evaluate.py ${checkpoint_path} ${output_dir} --data-root="data location"\
    --hparams="parameters you want to override"

python evaluate.py --data-root=./data/cmu_arctic/ \
    ./checkpoints_awb/checkpoint_step000100000.pth \
    ./generated

Community Discussions

Trending Discussions on wavenet_vocoder

Running into a basic issue about navigating code in github rep as clicking on a function-reference doesn't hightlight it or show definition

QUESTION

Running into a basic issue about navigating code in github rep as clicking on a function-reference doesn't hightlight it or show definition

Asked 2020-Jun-24 at 06:09

I was earlier able to browse the github repo at https://github.com/r9y9/Tacotron-2/blob/master/wavenet_vocoder/models/wavenet.py easily in browser, so that when I put cursor on top of jResidualConv1dGLU at Line84, it'd highlight and let me click on "Definition" and "References" of class ResidualConv1dGLU.

But I used the same repo in the same browser today, and it doesn't do anything. It doesn't highlight ResidualConv1dGLU or show links for Definition/References of it. It's as if it doesn't know that it's a class.

Is there some default setting needed to enable that? What am I missing?

PS: (It was working a few days ago, so I am not sure what changed in just a few days)

...

ANSWER

Answered 2020-Jun-24 at 06:09

What might have changed yesteraday (June 23, 2020) is "Design updates to repositories and GitHub UI"

Try and make sure to clear the cache of your browser and reload everything.

That being said, when clicking on "Jump to", I see:

"Code navigation not available for this commit", which is expected for a fork.
But I see the same issue on the original repository Rayhane-mamah/Tacotron-2.

Those repositories needs to be re-scanned by GitHub, as I mentioned here.

Source https://stackoverflow.com/questions/62544829

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

Vulnerabilities

No vulnerabilities reported

Install wavenet_vocoder

If you only need the library part, you can install it from pypi:.

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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