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"""
/* Copyright (c) 2023 Amazon
Written by Jan Buethe */
/*
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
"""
import os
import argparse
from scipy.io import wavfile
from pesq import pesq
import numpy as np
from moc import compare
from moc2 import compare as compare2
#from warpq import compute_WAPRQ as warpq
from lace_loss_metric import compare as laceloss_compare
parser = argparse.ArgumentParser()
parser.add_argument('folder', type=str, help='folder with processed items')
parser.add_argument('metric', type=str, choices=['pesq', 'moc', 'moc2', 'laceloss'], help='metric to be used for evaluation')
def get_bitrates(folder):
with open(os.path.join(folder, 'bitrates.txt')) as f:
x = f.read()
bitrates = [int(y) for y in x.rstrip('\n').split()]
return bitrates
def get_itemlist(folder):
with open(os.path.join(folder, 'items.txt')) as f:
lines = f.readlines()
items = [x.split()[0] for x in lines]
return items
def process_item(folder, item, bitrate, metric):
fs, x_clean = wavfile.read(os.path.join(folder, 'clean', f"{item}_{bitrate}_clean.wav"))
fs, x_opus = wavfile.read(os.path.join(folder, 'opus', f"{item}_{bitrate}_opus.wav"))
fs, x_lace = wavfile.read(os.path.join(folder, 'lace', f"{item}_{bitrate}_lace.wav"))
fs, x_nolace = wavfile.read(os.path.join(folder, 'nolace', f"{item}_{bitrate}_nolace.wav"))
x_clean = x_clean.astype(np.float32) / 2**15
x_opus = x_opus.astype(np.float32) / 2**15
x_lace = x_lace.astype(np.float32) / 2**15
x_nolace = x_nolace.astype(np.float32) / 2**15
if metric == 'pesq':
result = [pesq(fs, x_clean, x_opus), pesq(fs, x_clean, x_lace), pesq(fs, x_clean, x_nolace)]
elif metric =='moc':
result = [compare(x_clean, x_opus), compare(x_clean, x_lace), compare(x_clean, x_nolace)]
elif metric =='moc2':
result = [compare2(x_clean, x_opus), compare2(x_clean, x_lace), compare2(x_clean, x_nolace)]
# elif metric == 'warpq':
# result = [warpq(x_clean, x_opus), warpq(x_clean, x_lace), warpq(x_clean, x_nolace)]
elif metric == 'laceloss':
result = [laceloss_compare(x_clean, x_opus), laceloss_compare(x_clean, x_lace), laceloss_compare(x_clean, x_nolace)]
else:
raise ValueError(f'unknown metric {metric}')
return result
def process_bitrate(folder, items, bitrate, metric):
results = np.zeros((len(items), 3))
for i, item in enumerate(items):
results[i, :] = np.array(process_item(folder, item, bitrate, metric))
return results
if __name__ == "__main__":
args = parser.parse_args()
items = get_itemlist(args.folder)
bitrates = get_bitrates(args.folder)
results = dict()
for br in bitrates:
print(f"processing bitrate {br}...")
results[br] = process_bitrate(args.folder, items, br, args.metric)
np.save(os.path.join(args.folder, f'results_{args.metric}.npy'), results)
print("Done.")
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