forced-alignment | Forced alignment based on speech pauses using an RNN

by tiefenauer Jupyter Notebook Version: Current License: MIT

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

kandi X-RAY | forced-alignment Summary

forced-alignment is a Jupyter Notebook library. forced-alignment has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository contains the code for my IP8 project at FHNW. I wrote a paper including a working implementation of the pipeline for my master thesis here.

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Support

forced-alignment has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

forced-alignment has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of forced-alignment is current.

Quality

forced-alignment has no bugs reported.

Security

forced-alignment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

forced-alignment 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

forced-alignment releases are not available. You will need to build from source code and install.

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

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forced-alignment Key Features

No Key Features are available at this moment for forced-alignment.

forced-alignment Examples and Code Snippets

No Code Snippets are available at this moment for forced-alignment.

Community Discussions

No Community Discussions are available at this moment for forced-alignment.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install forced-alignment

The code was written for Python 3.6.6 using Anaconda 4.5.8. The project documentation is available as IPython Notebooks at https://ip8.tiefenauer.info. The notebooks provide an interactive way to illustrate the documentation with given or own examples. To run the notebooks on your local machine you must perform some setup work.
Clone the repository: git clone git@github.com:tiefenauer/forced-alignment.git
Install Python requirements: pip install -r requirements.txt
Install TensorFlow: TF is not included in requirements.txt because you can choose between the tensorflow (no GPU acceleration) and tensorflow-gpu (with GPU-acceleration). If your computer does not have a CUDA-supported GPU (like mine does) you will install the former, else the latter. Installing tensorflow-gpu on a computer without GPU does not work (at least I did not get it to work).
Run Jupyter Notebook from the directory where you cloned the code into: jupyter notebook

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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