project-CURRENNT-scripts | This repository contains the scripts to use CURRENNT

by nii-yamagishilab Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | project-CURRENNT-scripts Summary

project-CURRENNT-scripts is a Python library. project-CURRENNT-scripts has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However project-CURRENNT-scripts build file is not available. You can download it from GitHub.

This repository contains the scripts to use CURRENNT

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Quality

Security

License

Reuse

Support

project-CURRENNT-scripts has a low active ecosystem.

It has 58 star(s) with 17 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 191 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of project-CURRENNT-scripts is current.

Quality

project-CURRENNT-scripts has 0 bugs and 0 code smells.

Security

project-CURRENNT-scripts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

project-CURRENNT-scripts code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

project-CURRENNT-scripts is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

project-CURRENNT-scripts releases are not available. You will need to build from source code and install.

project-CURRENNT-scripts has no build file. You will be need to create the build yourself to build the component from source.

project-CURRENNT-scripts saves you 998 person hours of effort in developing the same functionality from scratch.

It has 2269 lines of code, 43 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

Prepare the data directory
Execute a command
Return True if list1 contains the same content
List all files in a directory
Returns the intersection of two lists
Write data configuration to file
Delete all files in a directory
Convert epoch to jSN
Removes all files from a directory
Generate split features
Write a split config file
Start the training process
Compute the melbank
Generate a configuration file
Prepare the CURRENN
Creates a list of file lists
Create a WAV file

Get all kandi verified functions for this library.

project-CURRENNT-scripts Key Features

No Key Features are available at this moment for project-CURRENNT-scripts.

project-CURRENNT-scripts Examples and Code Snippets

No Code Snippets are available at this moment for project-CURRENNT-scripts.

Community Discussions

No Community Discussions are available at this moment for project-CURRENNT-scripts.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install project-CURRENNT-scripts

You can download it from GitHub.
You can use project-CURRENNT-scripts 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

This repository contains the scripts to use CURRENNT - waveform-modeling: scripts for waveform models - acoustic-modeling: scripts for acoustic models. For NSF waveform-models, pytorch re-implementation is available now: https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts. ----------------- 0. before using ----------------------. Please install CURRENNT and pyTools before using this repository. https://github.com/nii-yamagishilab/project-CURRENNT-public. Please also install sox http://sox.sourceforge.net. Please modify the environment variables in ./init.sh. Please read the intruction below to use this repository. ----------------- 1. waveform models -------------------- ./waveform-modeling. | - DATA Directory to store the data for model training (validation will be selected automatically from these data). Note: due to historical reason, meanstd.bin for these pre-trained NSF models were not calculated using public-CURRENNT-scripts. Models project-NSF-pretrained can only use project-NSF-pretrained/meanstd.bin. If you want to train models on your own corpus, please use the training scripts in project-NSF. If you want to train models on your own corpus, please use the training scripts in project-NSF. If you want to train models on your own corpus, please use the training scripts in project-NSF. You can find other model definition files called network.jsn in pre-trained model directories. ----------------- 2. acoustic models -------------------- ./acoustic-modeling. |- DATA Directory to store the data for model training (for demonstration). Usage: please read README in project-***, and follow the steps to use.

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