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Repository for experimenting with different CTC based model designs for ASR. Supportslive recording and testing of speech and quickly creates customised datasets usingown-voice dataset creation scripts!

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 folder, LibriSpeech is a good example.
5. Download the language model (large file) run./lm/get_lm.sh

1. To Train, simply runpython run-train.py In order to specify training/validation files usepython run-train.py --train_files <csvfile> --valid_files <csvfile> (see run-train for complete arguments list)
2. To Test, runpython run-test.py --test_files <datacsvfile>

1. MozillaDeepSpeech
2. BaiduDS1 &DS2 papers

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

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