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# Copyright (c) 2022, 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 fisher_audio_to_wav.py \
# --data_root=<FisherEnglishTrainingSpeech root> \
# --dest_root=<destination dir root>
#
# Converts all .sph audio files in the Fisher dataset to .wav.
# Requires sph2pipe to be installed.
import argparse
import concurrent.futures
import glob
import logging
import os
import subprocess
from tqdm import tqdm
parser = argparse.ArgumentParser(description='Convert Fisher .sph to .wav')
parser.add_argument(
"--data_root", default=None, type=str, required=True, help="The path to the root Fisher dataset folder.",
)
parser.add_argument(
"--dest_root", default=None, type=str, required=True, help="Path to the destination root directory.",
)
args = parser.parse_args()
def __convert_audio(in_path, out_path):
"""
Helper function that's called per thread, converts sph to wav.
Args:
in_path: source sph file to convert
out_path: destination for wav file
"""
cmd = ["sph2pipe", "-f", "wav", "-p", in_path, out_path]
subprocess.run(cmd)
def __process_set(data_root, dst_root):
"""
Finds and converts all sph audio files in the given directory to wav.
Args:
data_folder: source directory with sph files to convert
dst_root: where wav files will be stored
"""
sph_list = glob.glob(data_root)
if not os.path.exists(dst_root):
os.makedirs(dst_root)
# Set up and execute concurrent audio conversion
tp = concurrent.futures.ProcessPoolExecutor(max_workers=64)
futures = []
for sph_path in tqdm(sph_list, desc="Submitting sph futures", unit="file"):
audio_id, _ = os.path.splitext(os.path.basename(sph_path))
out_path = os.path.join(dst_root, "{}.wav".format(audio_id))
futures.append(tp.submit(__convert_audio, sph_path, out_path))
pbar = tqdm(total=len(sph_list), desc="Converting sph files", unit="file")
count = 0
for f in concurrent.futures.as_completed(futures):
count += 1
pbar.update()
tp.shutdown()
pbar.close()
def main():
data_root = args.data_root
dest_root = args.dest_root
logging.info("\n\nConverting audio for Part 1")
__process_set(
os.path.join(data_root, "LDC2004S13-Part1", "fisher_eng_tr_sp_d*", "audio", "*", "*.sph",),
os.path.join(dest_root, "LDC2004S13-Part1", "audio_wav"),
)
logging.info("\n\nConverting audio for Part 2")
__process_set(
os.path.join(data_root, "LDC2005S13-Part2", "fe_03_p2_sph*", "audio", "*", "*.sph",),
os.path.join(dest_root, "LDC2005S13-Part2", "audio_wav"),
)
if __name__ == '__main__':
main()
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