DeepSpeech SR server using Falcon.
Install the dependencies
pip install -r requirements.txt
If you want GPU acceleration
pip install deepspeech-gpu --upgrade
Download the pre-trained model
wget -O - https://github.com/mozilla/DeepSpeech/releases/download/v0.1.1/deepspeech-0.1.1-models.tar.gz | tar xvfz -
Update path to model files in the params.json file.
Run the server
python main.py --params params.json
- SpeechRecognition:
POST /api/reco
Parameters for the service are stored in a JSON file. The follow parameters control the beam search decoder.
beam_width Used in the CTC decoder when building candidate transcription.
lm_weight Hyperparameter for the CTC decoder. Language model weight.
word_count_weight Hyperparameter of the CTC decoder. Word insertion weight (penalty).
valid_word_count_weight Valid word insertion weight. This is used to lessen the word insertion penalty.
n_features Number of MFCC features to use.
n_context Size of the context window used for producing timesteps in the input vector.
http -f POST http://localhost:8080/api/reco < audio_file.wav