# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

# USAGE: python get_openslr_rir_data.py --data_root=<where to put data>

# Data is downloaded from OpenSLR's "Room Impulse Response and Noise Database"

# RIRs in multichannel files are separated into single channel files and

# a json file that can be used as in input to NeMo is created

import argparse

import glob

import json

import logging

import os

import subprocess

import urllib.request

from shutil import copy, move

from zipfile import ZipFile

from tqdm import tqdm

parser = argparse.ArgumentParser(description="OpenSLR RIR Data download and process")

parser.add_argument("--data_root", required=True, default=None, type=str)

args = parser.parse_args()

URLS = {

"SLR28": ("http://www.openslr.org/resources/28/rirs_noises.zip"),

}

def __retrieve_with_progress(source: str, filename: str):

"""

Downloads source to destination

Displays progress bar

Args:

source: url of resource

destination: local filepath

Returns:

"""

with open(filename, "wb") as f:

response = urllib.request.urlopen(source)

total = response.length

if total is None:

f.write(response.content)

else:

with tqdm(total=total, unit="B", unit_scale=True, unit_divisor=1024) as pbar:

for data in response:

f.write(data)

pbar.update(len(data))

def __maybe_download_file(destination: str, source: str):

"""

Downloads source to destination if it doesn't exist.

If exists, skips download

Args:

destination: local filepath

source: url of resource

Returns:

"""

source = URLS[source]

if not os.path.exists(destination):

logging.info("{0} does not exist. Downloading ...".format(destination))

__retrieve_with_progress(source, filename=destination + ".tmp")

os.rename(destination + ".tmp", destination)

logging.info("Downloaded {0}.".format(destination))

else:

logging.info("Destination {0} exists. Skipping.".format(destination))

return destination

def __extract_file(filepath: str, data_dir: str):

try:

with ZipFile(filepath, "r") as zipObj:

zipObj.extractall(data_dir)

except Exception:

logging.info("Not extracting. Maybe already there?")

def __process_data(data_folder: str, dst_folder: str, manifest_file: str):

"""

Converts flac to wav and build manifests's json

Args:

data_folder: source with flac files

dst_folder: where wav files will be stored

manifest_file: where to store manifest

Returns:

"""

if not os.path.exists(dst_folder):

os.makedirs(dst_folder)

real_rir_list = os.path.join(data_folder, "RIRS_NOISES", "real_rirs_isotropic_noises", "rir_list")

rirfiles = []

with open(real_rir_list, "r") as rir_f:

for line in rir_f:

rirfiles.append(os.path.join(data_folder, line.rstrip().split(" ")[4]))

real_rir_folder = os.path.join(dst_folder, "real_rirs")

if not os.path.exists(real_rir_folder):

os.makedirs(real_rir_folder)

# split multi-channel rir files to single channel

for rir_f in rirfiles:

n_chans = int(subprocess.check_output("soxi -c {0}".format(rir_f), shell=True))

if n_chans == 1:

copy(rir_f, real_rir_folder)

else:

for chan in range(1, n_chans + 1):

chan_file_name = os.path.join(

real_rir_folder, os.path.splitext(os.path.basename(rir_f))[0] + "-" + str(chan) + ".wav",

)

_ = subprocess.check_output(f"sox {rir_f} {chan_file_name} remix {chan}", shell=True)

# move simulated rirs to processed

if not os.path.exists(os.path.join(dst_folder, "simulated_rirs")):

move(os.path.join(data_folder, "RIRS_NOISES", "simulated_rirs"), dst_folder)

os.chdir(dst_folder)

all_rirs = glob.glob("**/*.wav", recursive=True)

with open(manifest_file, "w") as man_f:

entry = {}

for rir in all_rirs:

rir_file = os.path.join(dst_folder, rir)

duration = subprocess.check_output("soxi -D {0}".format(rir_file), shell=True)

entry["audio_filepath"] = rir_file

entry["duration"] = float(duration)

entry["offset"] = 0

entry["text"] = "_"

man_f.write(json.dumps(entry) + "\n")

print("Done!")

def main():

data_root = os.path.abspath(args.data_root)

data_set = "slr28"

logging.getLogger().setLevel(logging.INFO)

logging.info("\n\nWorking on: {0}".format(data_set))

filepath = os.path.join(data_root, data_set + ".zip")

logging.info("Getting {0}".format(data_set))

__maybe_download_file(filepath, data_set.upper())

logging.info("Extracting {0}".format(data_set))

__extract_file(filepath, data_root)

logging.info("Processing {0}".format(data_set))

__process_data(

data_root,

os.path.join(os.path.join(data_root, "processed")),

os.path.join(os.path.join(data_root, "processed", "rir.json")),

)

logging.info("Done!")

if __name__ == "__main__":

main()