I am trying to train the DeepSpeech with this code:
#!/bin/sh
python -u ../DeepSpeech.py \
--export_tflite \
--export_dir /media/ugnelis/Data/GIT/lithuanian-speach-to-text/DeepSpeech/mano \
--train_files data/dataset.csv \
--dev_files data/dataset.csv \
--test_files data/dataset.csv \
--alphabet data/alphabet.txt \
--train_batch_size 1 \
--dev_batch_size 1 \
--test_batch_size 1 \
--n_hidden 494 \
--epoch 5 \
--checkpoint_dir models \
"$@"
And the problem is that I don’t get “.pb” model as an output, only TensorFlow check points.
Do I need additional flag for “.pb” module?
P. s. I hope this error is not blocking to get “.pb” module:
...
100% (1 of 1) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00
Preprocessing ['data/dataset.csv']
WARNING:root:frame length (551) is greater than FFT size (512), frame will be truncated. Increase NFFT to avoid.
Preprocessing done
[scorer.cpp:63] FATAL: "(access(filename, 4)) == (0)" check failed. Invalid language model path