https://github.com/coolzhao/kerasdeepspeech

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

https://github.com/coolzhao/kerasdeepspeech

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Basic Info
  • Host: GitHub
  • Owner: coolzhao
  • License: agpl-3.0
  • Default Branch: master
  • Homepage:
  • Size: 150 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of robmsmt/KerasDeepSpeech
Created over 6 years ago · Last pushed over 8 years ago

https://github.com/coolzhao/KerasDeepSpeech/blob/master/

# Keras DeepSpeech
[![Build Status](https://travis-ci.org/robmsmt/KerasDeepSpeech.svg?branch=master)](https://travis-ci.org/robmsmt/KerasDeepSpeech)



Repository for experimenting with different CTC based model designs for ASR. Supports [live recording and testing](data/live-rec-test.py) of speech and quickly creates customised datasets using [own-voice dataset creation scripts](data/data-recorder.py)!

## OVERVIEW















## SETUP
1. Recommended > use virtualenv installed with python2.7 (3.x untested and will not work with Core ML)
2. `git clone https://github.com/robmsmt/KerasDeepSpeech`
3. `pip install -r requirements.txt`
4. Get the data using the import/download scripts in the ![data](https://github.com/robmsmt/KerasDeepSpeech/tree/master/data) folder, LibriSpeech is a good example.
5. Download the language model (large file) run `./lm/get_lm.sh`

## RUN
1. To Train, simply run `python run-train.py` In order to specify training/validation files use `python run-train.py --train_files  --valid_files ` (see run-train for complete arguments list)
2. To Test, run `python run-test.py --test_files `




## CREDIT 
1. Mozilla [DeepSpeech](https://github.com/mozilla/DeepSpeech)
2. Baidu [DS1](https://arxiv.org/abs/1412.5567) & [DS2](https://arxiv.org/abs/1512.02595) papers




## Licence
The content of this project itself is licensed under the GNU General Public License.
Copyright  2018

## Contributing ##
Have a question? Like the tool? Don't like it? Open an issue and let's talk about it! Pull requests are appreciated!

Owner

  • Login: coolzhao
  • Kind: user

GitHub Events

Total
Last Year