Hello Lissyx,
I just followed the steps mentioned by you (now using .pbmm file with the new deepspeech binary obtained from native_client.tar.xz) but getting “File format ‘# Ea’… not understood” error as shown below-
(deepspeech-venv) [centerstage@localhost new_native_client]$ deepspeech output_graph.pbmm …/models/alphabet.txt …/hiroshima-1.wav
Loading model from file output_graph.pbmm
2018-03-05 11:37:53.392392: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Data loss: Can’t parse output_graph.pbmm as binary proto
Loaded model in 0.005s.
Traceback (most recent call last):
File “/home/centerstage/tmp/deepspeech-venv/bin/deepspeech”, line 11, in
sys.exit(main())
File “/home/centerstage/tmp/deepspeech-venv/lib/python2.7/site-packages/deepspeech/client.py”, line 66, in main
fs, audio = wav.read(args.audio)
File “/home/centerstage/tmp/deepspeech-venv/lib/python2.7/site-packages/scipy/io/wavfile.py”, line 236, in read
file_size, is_big_endian = _read_riff_chunk(fid)
File “/home/centerstage/tmp/deepspeech-venv/lib/python2.7/site-packages/scipy/io/wavfile.py”, line 168, in _read_riff_chunk
"understood.".format(repr(str1)))
ValueError: File format ‘# Ea’… not understood.
One more point that ‘-t’ argument is not supported here,
(deepspeech-venv) [centerstage@localhost new_native_client]$ deepspeech output_graph.pbmm …/models/alphabet.txt …/hiroshima-1.wav -t
usage: deepspeech [-h] model audio alphabet [lm] [trie]
deepspeech: error: unrecognized arguments: -t