doit

#!/bin/bash
# run recognizer on a 10 second sample of the test data

if [ ! -f training.raw ]; then
echo decompressing training.flac first...
cat training.flac.* > training.flac
flac -d --force-raw-format --endian little --sign signed  training.flac
fi

if [ ! -f test.raw ]; then
echo decompressing test.flac first....
cat test.flac.* > test.flac
flac -d --force-raw-format --endian little --sign signed test.flac
fi


if [ ! -f training.fe ]; then
echo generating training-data features... will take a while...
./features training.raw training.fe
fi

# first, clean up from any previous runs...
rm sample* match*
# Extract a random 10 second sample from test.raw into sample.raw:
./chop

# generate feature data from sample.raw:
./features sample.raw sample.fe

# run the correlator to get matches within the training audio:
./compare