https://github.com/montrealcorpustools/speechcorpustools
Easier analysis of large speech corpora
https://github.com/montrealcorpustools/speechcorpustools
Last synced: about 1 year ago
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Easier analysis of large speech corpora
- Host: GitHub
- URL: https://github.com/montrealcorpustools/speechcorpustools
- Owner: MontrealCorpusTools
- Created: 2015-10-14T16:56:53.000Z (over 10 years ago)
- Default Branch: main
- Last Pushed: 2021-06-22T17:07:54.000Z (almost 5 years ago)
- Last Synced: 2025-05-07T21:02:15.725Z (about 1 year ago)
- Language: Python
- Homepage: http://montrealcorpustools.github.io/speechcorpustools
- Size: 5.47 MB
- Stars: 22
- Watchers: 9
- Forks: 7
- Open Issues: 5
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Metadata Files:
- Readme: README.md
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README
Speech Corpus Tools
===================
[](https://travis-ci.org/MontrealCorpusTools/speechcorpustools)
[](https://coveralls.io/github/MontrealCorpusTools/speechcorpustools?branch=master)
[](http://speech-corpus-tools.readthedocs.org/en/latest/?badge=latest)
Speech Corpus Tools is a software tool built to ease the analysis of large speech corpora.
Please see the online documentation (http://speech-corpus-tools.readthedocs.io/) for more information and installation instructions.
This application is under development, please report any issues to
michael.e.mcauliffe@gmail.com.
To install from source (or to set up a development environment):
1. Download or clone the repository
2. Install Python requirements (`pip install -r requirements.txt`)
3. Install Neo4j and set it up (see http://speech-corpus-tools.readthedocs.io/en/latest/tutorial/tutorial.html#installation-tutorial)
4. Run the debug script from the root of repository (`python bin/qt_debug.py`)
5. To build an executable run `freezing/freeze.sh` (for Mac/Linux) or `freezing/freeze.bat` (for Windows)