Metadata-Version: 1.1
Name: kaldi-helpers
Version: 0.22
Summary: Scripts for preparing language data for use with Kaldi ASR
Home-page: https://github.com/CoEDL/kaldi_helpers
Author: CoEDL
Author-email: n.lambourne@uq.edu.au
License: UNKNOWN
Description: # CoEDL Kaldi Helpers <img src="docs/img/kh.png" align="right"/>
        
        A set of scripts to use in preparing a corpus for speech-to-text processing with the [Kaldi](http://kaldi-asr.org/) 
        Automatic Speech Recognition Library.
        
        Read about [setting up Docker](https://github.com/CoEDL/elpis/wiki/2018-summer-workshop-preparation) to run all this.
        
        For more information about data requirements, see the 
        [data guide](https://github.com/CoEDL/elpis/wiki/2018-summer-workshop-preparation).
        
        ## Requirements
        This pipeline relies on Python 3.6 and several open-source Python packages (listed [here](./requirements.txt)).
        It also assumes you have Kaldi, [sox](http://sox.sourceforge.net/) and [task](https://taskfile.org/) installed. We 
        highly recommend using [our docker image](https://github.com/CoEDL/elpis/wiki/2018-summer-workshop-preparation).
        
        ## Tasks
        This library uses the [task](https://taskfile.org) tool to run the more complex processes automatically. Once 
        you've set up Kaldi Helpers, you can run the various pipeline tasks we've developed (or out of the box in the docker 
        image). You can read about these tasks [here](https://github.com/CoEDL/elpis/wiki/tasks). 
        
        ## Workflow
        <p align="center">
          <img src="docs/img/elpis-pipeline.svg"/>
        </p>
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Operating System :: OS Independent
