I’m sorry, but I can’t just explore your fork to deduce and help you
That’s valid. The TL;DR of that script is:
- Get all the audio files in a directory and iterate through them.
- Calculate the audio file size.
- Parses the first two numbers in the file name:
<Chapter>_<verse>_<hash>.wav. - Get the transcript of the Chapter/Verse.
- Create csv entry.
I tested out a single bad file and got the following error:
I Initializing variables...
I STARTING Optimization
Epoch 0 | Training | Elapsed Time: 0:00:00 | Steps: 0 | Loss: 0.000000 Traceback (most recent call last):
File "/Users/allabana/.virtualenvs/test-ds-1/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
return fn(*args)
File "/Users/allabana/.virtualenvs/test-ds-1/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/Users/allabana/.virtualenvs/test-ds-1/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Header mismatch: Expected fmt but found JUNK
[[{{node DecodeWav}}]]
[[tower_0/IteratorGetNext]]
Which led me to a previous solution by you here 
That and the stack of the graph would suggest a bogus WAV file.
I was able to run DeepSpeech successfully with a single file.
python3 -u DeepSpeech.py \
--alphabet_config_path "$ALPHABET_PATH" \
--lm_binary_path "$LM_BINARY_PATH" \
--lm_trie_path "$LM_TRIE_PATH" \
--train_files "$TRAIN_CSV_FILE" \
--test_files "$TEST_CSV_FILE" \
--train_batch_size 1 \
--test_batch_size 1 \
--n_hidden 100 \
--epochs 35 \
--checkpoint_dir "$checkpoint_dir" \
"$@"
However, I get the following error when it finishes:
[scorer.cpp:77] FATAL: "(access(filename, (1<<2))) == (0)" check failed. Invalid language model path
and I’m assuming that’s because I need to provide the binary and trie path.