Checkpoint wav data chunk data is too large

[JRMeyer]

>>> watercress20
[August 13, 2019, 9:28pm]

Hi, I'm looking to use deep speech to pick up my own accent better and
learn a bit about speech recognition systems.

But upon setting everything up, it gets to here

Use standard file APIs to check for files with this prefix. slash
I Restored variables from most recent checkpoint at
/home/ slash - slash - slash - slash - slash - slash - slash - slash - slash --/SpeechDemo/deepspeech-0.5.1-checkpoint/model.v0.5.1,
step 467356 slash
I STARTING Optimization slash
Epoch 0 slash | Training slash | Elapsed Time: 0:00:00 slash | Steps: 0 slash | Loss:
0.000000

and at the end of the traceback

tensorflow.python.framework.errors_impl.InvalidArgumentError: WAV data
chunk 'data' is too large: 2147483648 bytes, but the limit is
2147483647 slash
slash [ slash [{{node DecodeWav}} slash ] slash ] slash
slash [ slash [{{node tower_0/IteratorGetNext}} slash ] slash ]

That byte size is in the gigs and it being one byte off seemed strange
to me, could it be a wav file size ?

I'm using checkpoint 0.5.1 and 0.5.1 source, on the CPU. I was wondering
if anyone has came across this and could explain it.

Thanks alot for the project and the models, its amazing .

[This is an archived TTS discussion thread from discourse.mozilla.org/t/checkpoint-wav-data-chunk-data-is-too-large]

[JRMeyer]

>>> carlfm01
[August 14, 2019, 12:45am]

Maybe: mozilla/DeepSpeech#2271?

[Archived Post]

[JRMeyer]

>>> watercress20
[August 14, 2019, 1:21am]

Hi Carlfm01 slash
Yeah that thread helped me find a solution. slash
I'm unsure as to whether it was a corrupt wav file or a wrongly
formatted wav file but their was a solution in the thread about using
ffmpeg in a bash script to process the files and their file structure. I
tried it out then started the training process again and it worked

#!/bin/bash

for name in *.wav;
do
ffmpeg -i '$name' -c:a copy 'tmp/$name'
done

Computer slowed down to a grind but that's just the hardware im running,
but it was training. slash
Thanks for the help.

[Archived Post]