setup.sh

#!/bin/bash

#cd /audio_in/

## Now add media files to /audio_in/

## The following block of code was removed because it was too processor intensive to do this work in docker. It's not done with prep_files.py locally`

#for file in *.{wav,mp3,mp4,WAV,MP3,MP4}; do
#if [ ${file: -4} == ".mp3" ]; then
#base=$(basename """$file""" .mp3);
#fi
#if [ ${file: -4} == ".MP3" ]; then
#base=$(basename """$file""" .MP3);
#fi
#if [ ${file: -4} == ".mp4" ]; then
#base=$(basename """$file""" .MP4);
#fi
#if [ ${file: -4} == ".MP4" ]; then
#base=$(basename """$file""" .MP4);
#fi
#if [ ${file: -4} == ".wav" ]; then
#base=$(basename """$file""" .wav);
#fi
#if [ ${file: -4} == ".WAV" ]; then
#base=$(basename """$file""" .WAV);
#fi
#ffmpeg -i """$file""" -ac 1 -ar 16000 """$base"""_16kHz.wav;
#done

#mkdir /audio_in_16khz/
#mv *_16kHz.wav /audio_in_16khz/

######### Starting the batch transcription run ##########

python /kaldi/egs/american-archive-kaldi/run_kaldi.py /kaldi/egs/american-archive-kaldi/sample_experiment/ /audio_in/ && \
rsync -a /kaldi/egs/american-archive-kaldi/sample_experiment/output/ /audio_in/transcripts/