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from itertools import repeat
from multiprocessing import Pool
from scipy.io import wavfile
from pydub import AudioSegment
from tqdm import tqdm
def get_length(input_video):
result = subprocess.run(['ffprobe', '-v', 'error', '-show_entries', 'format=duration', '-of', 'default=noprint_wrappers=1:nokey=1', input_video], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
return float(result.stdout)
def read_Vox_lines(file):
Tlines, Flines = [], []
with open(file) as f_in:
while True:
line = f_in.readline()
if not line:
break
if int(line[0]):
Tlines.append(line)
else:
Flines.append(line)
return Tlines, Flines
def read_LRS3_ST(file):
lines = []
with open(file) as f_in:
while True:
line = f_in.readline()
if not line:
break
lines.append(line)
return lines[:30000]
def read_LRS3_S(file):
lines = []
with open(file) as f_in:
while True:
line = f_in.readline()
if not line:
break
start = int(line.split()[1]) / 100
end = int(line.split()[2]) / 100
if end - start <= 3: # Only select less than 3s
lines.append(line)
return lines[:30000]
def generate_TAudio(line, args):
# Get the id of the audio and video
audio_name = line.split()[1][:-4]
video_name = line.split()[2][:-4]
id1 = audio_name.split('/')[0]
name1 = audio_name.split('/')[0] + '_' + audio_name.split('/')[1] + '_' + audio_name.split('/')[2]
name2 = video_name.split('/')[0] + '_' + video_name.split('/')[1] + '_' + video_name.split('/')[2]
name = name1 + '_' + name2
audio_path = os.path.join(args.Vox_audio, audio_name + '.wav')
video_path = os.path.join(args.Vox_video, video_name + '.mp4')
out_audio_path = os.path.join(args.out_path, 'TAudio', id1 + '/' + name + '.wav')
out_video_path = os.path.join(args.out_path, 'TAudio', id1 + '/' + name + '.mp4')
os.makedirs(os.path.join(args.out_path, 'TAudio', id1), exist_ok = True)
# Read the audio data and the length of audio and video
audio = AudioSegment.from_file(audio_path, format="wav")
length_audio = len(audio) / 1000.0
length_video = get_length(video_path)
length_data = int(min(length_video, length_audio) * 100) / 100
audio = audio[:int(length_data * 1000)]
# Extract the video and audio
start = 0
end = length_data
audio.export(out_audio_path, format="wav")
cmd = "ffmpeg -y -ss %.3f -t %.3f -i %s -i %s -c:v copy -c:a aac -map 0:v:0 -map 1:a:0 -shortest %s -loglevel panic"% (start, end - start, video_path, out_audio_path, out_video_path)
subprocess.call(cmd, shell=True, stdout=None)
# # Write the txt file
start_T, end_T = 0, length_data
start_F, end_F= 0, 0
line_new = "TAudio" + ' ' + str(audio_name) + ' ' + str(video_name) + ' ' + str(length_data) \
+ ' ' + str(start_T) + ' ' + str(end_T) + ' ' + str(start_F) + ' ' + str(end_F) + '\n'
return line_new
def generate_FAudio(line, args):
# Get the id of the audio and video
audio_name = line.split()[1][:-4]
video_name = line.split()[2][:-4]
id1 = audio_name.split('/')[0]
name1 = audio_name.split('/')[0] + '_' + audio_name.split('/')[1] + '_' + audio_name.split('/')[2]
name2 = video_name.split('/')[0] + '_' + video_name.split('/')[1] + '_' + video_name.split('/')[2]
name = name1 + '_' + name2
audio_path = os.path.join(args.Vox_audio, audio_name + '.wav')
video_path = os.path.join(args.Vox_video, video_name + '.mp4')
out_audio_path = os.path.join(args.out_path, 'FAudio', id1 + '/' + name + '.wav')
out_video_path = os.path.join(args.out_path, 'FAudio', id1 + '/' + name + '.mp4')
os.makedirs(os.path.join(args.out_path, 'FAudio', id1), exist_ok = True)
# Read the audio data and the length of audio and video
audio = AudioSegment.from_file(audio_path, format="wav")
length_audio = len(audio) / 1000.0
length_video = get_length(video_path)
length_data = int(min(length_video, length_audio) * 100) / 100
audio = audio[:int(length_data * 1000)]
# Extract the video and audio
start = 0
end = length_data
audio.export(out_audio_path, format="wav")
cmd = "ffmpeg -y -ss %.3f -t %.3f -i %s -i %s -c:v copy -c:a aac -map 0:v:0 -map 1:a:0 -shortest %s -loglevel panic"% (start, end - start, video_path, out_audio_path, out_video_path)
subprocess.call(cmd, shell=True, stdout=None)
# Write the txt file
start_T, end_T = 0, 0
start_F, end_F= 0, length_data
line_new = "FAudio" + ' ' + str(audio_name) + ' ' + str(video_name) + ' ' + str(length_data) \
+ ' ' + str(start_T) + ' ' + str(end_T) + ' ' + str(start_F) + ' ' + str(end_F) + '\n'
return line_new
def generate_TFAudio(line, args):
# Get the id of the audio and video
audio_name = line.split()[1][:-4]
video_name = line.split()[2][:-4]
id1 = audio_name.split('/')[0]
name1 = audio_name.split('/')[0] + '_' + audio_name.split('/')[1] + '_' + audio_name.split('/')[2]
name2 = video_name.split('/')[0] + '_' + video_name.split('/')[1] + '_' + video_name.split('/')[2]
name = name1 + '_' + name2
audio_T_path = os.path.join(args.Vox_audio, video_name + '.wav')
audio_F_path = os.path.join(args.Vox_audio, audio_name + '.wav')
video_path = os.path.join(args.Vox_video, video_name + '.mp4')
out_audio_path = os.path.join(args.out_path, 'TFAudio', id1 + '/' + name + '.wav')
out_video_path = os.path.join(args.out_path, 'TFAudio', id1 + '/' + name + '.mp4')
os.makedirs(os.path.join(args.out_path, 'TFAudio', id1), exist_ok = True)
# Read the audio data and the length of audio and video
audio_T = AudioSegment.from_file(audio_T_path, format="wav")
audio_F = AudioSegment.from_file(audio_F_path, format="wav")
length_audio_T = len(audio_T) / 1000.0
length_audio_F = len(audio_F) / 1000.0
length_video = get_length(video_path)
length_data = int(min(length_audio_T, length_audio_F, length_video) * 100) / 100
audio_T = audio_T[:int(length_data * 1000)]
audio_F = audio_F[:int(length_data * 1000)]
# Generate the audio
changepoint = int((length_data * 0.25 + length_data * random.random() * 0.5) * 100) / 100
audio_dict = {}
audio_dict['T1'] = audio_T[:changepoint * 1000]
audio_dict['T2'] = audio_T[changepoint * 1000:]
audio_dict['F1'] = audio_F[:changepoint * 1000]
audio_dict['F2'] = audio_F[changepoint * 1000:]
seed = random.randint(0,1)
if seed == 1:
audio = audio_dict['T1'] + audio_dict['F2']
else:
audio = audio_dict['F1'] + audio_dict['T2']
# Extract the video and audio
start = 0
end = length_data
audio.export(out_audio_path, format="wav")
cmd = "ffmpeg -y -ss %.3f -t %.3f -i %s -i %s -c:v copy -c:a aac -map 0:v:0 -map 1:a:0 -shortest %s -loglevel panic"% (start, end - start, video_path, out_audio_path, out_video_path)
subprocess.call(cmd, shell=True, stdout=None)
# Write the txt file
if seed == 1:
start_T, end_T, start_F, end_F = 0, changepoint, changepoint, length_data
elif seed == 0:
start_F, end_F, start_T, end_T = 0, changepoint, changepoint, length_data
line_new = "TFAudio" + ' ' + str(audio_name) + ' ' + str(video_name) + ' ' + str(length_data) \
+ ' ' + str(start_T) + ' ' + str(end_T) + ' ' + str(start_F) + ' ' + str(end_F) + '\n'
return line_new
def generate_TSilence(line, args):
# Get the id of the audio and video
type_change = line.split()[0]
audio_name = line.split()[1]
video_name = line.split()[1]
id1 = audio_name.split('/')[0]
name1 = audio_name.split('/')[0] + '_' + audio_name.split('/')[1] + '_' + line.split()[5]
name2 = video_name.split('/')[0] + '_' + video_name.split('/')[1] + '_' + line.split()[5]
name = name1 + '_' + name2
start = int(line.split()[2]) / 100
mid = int(line.split()[3]) / 100
end = int(line.split()[4]) / 100
audio_path = os.path.join(args.lrs3_audio, 'pretrain', audio_name[8:] + '.wav')
video_path = os.path.join(args.lrs3_video, 'pretrain', video_name[8:]+ '.mp4')
out_audio_path = os.path.join(args.out_path, 'TSilence', id1 + '/' + name + '.wav')
out_video_path = os.path.join(args.out_path, 'TSilence', id1 + '/' + name + '.mp4')
os.makedirs(os.path.join(os.path.join(args.out_path, 'TSilence'), id1), exist_ok = True)
# Read the audio data and the length of audio and video
audio = AudioSegment.from_file(audio_path, format="wav")
# Get the required audio and video data
length_data = int((end - start) * 100) / 100
audio = audio[int(start * 1000):int(end * 1000)]
audio.export(out_audio_path, format="wav")
cmd = "ffmpeg -y -ss %.3f -t %.3f -i %s -i %s -c:v copy -c:a aac -map 0:v:0 -map 1:a:0 -shortest %s -loglevel panic"% (start, end - start, video_path, out_audio_path, out_video_path)
subprocess.call(cmd, shell=True, stdout=None)
changepoint = int((mid - start) * 100) / 100
if type_change == "10":
start_T, end_T, start_F, end_F = 0, changepoint, changepoint, length_data
elif type_change == "01":
start_T, end_T, start_F, end_F = changepoint, length_data, 0, changepoint
audio_name = audio_name[:-5] + line.split()[5]
video_name = video_name[:-5] + line.split()[5]
line_new = "TSilence" + ' ' + str(audio_name) + ' ' + str(video_name) + ' ' + str(length_data) \
+ ' ' + str(start_T) + ' ' + str(end_T) + ' ' + str(start_F) + ' ' + str(end_F) + '\n'
return line_new
def generate_FSilence(line, Flines, args):
# Get the id of the audio and video
audio_T_name = line.split()[0]
video_name = line.split()[0]
start = int(line.split()[1]) / 100
end = int(line.split()[2]) / 100
length_data = int((end - start) * 100) / 100
changepoint = int((length_data * 0.25 + length_data * random.random() * 0.5) * 100) / 100
speech_line = random.choice(Flines)
length_speech = float(speech_line.split()[-1])
while length_speech < length_data:
speech_line = random.choice(Flines)
length_speech = float(speech_line.split()[-1])
audio_F_name = speech_line.split()[1][:-4]
id1 = audio_F_name.split('/')[0]
name1 = audio_F_name.split('/')[0] + '_' + audio_F_name.split('/')[1] + '_' + audio_F_name.split('/')[2]
name2 = audio_T_name.split('/')[0] + '_' + audio_T_name.split('/')[1] + '_' + line.split()[-1]
name = name1 + '_' + name2
# True: orig_video False: speech+slience
video_path = os.path.join(args.lrs3_video, 'pretrain', video_name[8:]+ '.mp4')
audio_T_path = os.path.join(args.lrs3_audio, 'pretrain', audio_T_name[8:] + '.wav')
audio_F_path = os.path.join(args.Vox_audio, audio_F_name + '.wav')
out_audio_path = os.path.join(args.out_path, 'FSilence', id1 + '/' + name + '.wav')
out_video_path = os.path.join(args.out_path, 'FSilence', id1 + '/' + name + '.mp4')
os.makedirs(os.path.join(args.out_path, 'FSilence', id1), exist_ok = True)
# Read the audio data and the length of audio and video
audio_T = AudioSegment.from_file(audio_T_path, format="wav")
audio_T = audio_T[int(start * 1000):int(end * 1000)]
audio_F = AudioSegment.from_file(audio_F_path, format="wav")
length_audio_T = len(audio_T) / 1000.0
length_audio_F = len(audio_F) / 1000.0
length_video = get_length(video_path)
length_data = int(min(length_audio_T, length_audio_F, length_video) * 100) / 100
audio_T = audio_T[:int(length_data * 1000)]
audio_F = audio_F[:int(length_data * 1000)]
# Generate the audio
audio_dict = {}
audio_dict['T1'] = audio_T[:changepoint * 1000]
audio_dict['T2'] = audio_T[changepoint * 1000:]
audio_dict['F1'] = audio_F[:changepoint * 1000]
audio_dict['F2'] = audio_F[changepoint * 1000:]
seed = random.randint(0,1)
if seed == 1:
audio = audio_dict['T1'] + audio_dict['F2']
else:
audio = audio_dict['F1'] + audio_dict['T2']
# Extract the video and audio
audio.export(out_audio_path, format="wav")
cmd = "ffmpeg -y -ss %.3f -t %.3f -i %s -i %s -c:v copy -c:a aac -map 0:v:0 -map 1:a:0 -shortest %s -loglevel panic"% (start, end - start, video_path, out_audio_path, out_video_path)
subprocess.call(cmd, shell=True, stdout=None)
# Write the txt file
if seed == 1:
start_T, end_T, start_F, end_F = 0, changepoint, changepoint, length_data
elif seed == 0:
start_F, end_F, start_T, end_T = 0, changepoint, changepoint, length_data
video_name = video_name[:-5] + line.split()[-1]
line_new = "FSilence" + ' ' + str(audio_F_name) + ' ' + str(video_name) + ' ' + str(length_data) \
+ ' ' + str(start_T) + ' ' + str(end_T) + ' ' + str(start_F) + ' ' + str(end_F) + '\n'
return line_new
# MAIN
parser = argparse.ArgumentParser(description = "generate_Dataset")
parser.add_argument('--List_folder', type=str, default= 'lists')
parser.add_argument('--out_path', type=str, default= '/data07/ruijie/database/TalkSet_final')
parser.add_argument('--Vox_audio', type=str, default= '/home/ruijie/database/VoxCeleb2/audio/audio_clean/clean/train')
parser.add_argument('--Vox_video', type=str, default= '/home/ruijie/database/VoxCeleb2/video/orig/train')
parser.add_argument('--lrs3_audio', type=str, default='/data07/ruijie/database/LRS3/audio/orig_audio/clean')
parser.add_argument('--lrs3_video', type=str, default='/data07/ruijie/database/LRS3/video/orig_video')
parser.add_argument('--task', type=str, default='TAudio')
parser.add_argument('--num_cpu', type=int, default=10)
args = parser.parse_args()
os.makedirs(os.path.join(args.out_path, 'TAudio'), exist_ok = True)
os.makedirs(os.path.join(args.out_path, 'FAudio'), exist_ok = True)
os.makedirs(os.path.join(args.out_path, 'TFAudio'), exist_ok = True)
os.makedirs(os.path.join(args.out_path, 'FSilence'), exist_ok = True)
os.makedirs(os.path.join(args.out_path, 'TSilence'), exist_ok = True)
args.list_Vox = os.path.join(args.List_folder, 'lists_in', 'Vox_list.txt')
args.list_LRS3_S = os.path.join(args.List_folder, 'lists_in', 'LRS3_S_list.txt')
args.list_LRS3_ST = os.path.join(args.List_folder, 'lists_in', 'LRS3_ST_list.txt')
args.list_out = os.path.join(args.List_folder, 'lists_out')
args.list_out_train = os.path.join(args.list_out, 'train.txt')
args.list_out_test = os.path.join(args.list_out, 'test.txt')
if args.task == 'TAudio':
Tlines, _ = read_Vox_lines(args.list_Vox)
Tlines_new = []
# Generate the video and audio
with Pool(args.num_cpu) as p:
Tlines_new.append(p.starmap(generate_TAudio, zip(Tlines, repeat(args))))
# Write the txt file
out_Tlist_file = open(os.path.join(args.list_out, 'TAudio.txt'), "w")
for line_new in Tlines_new[0]:
out_Tlist_file.write(line_new)
print('TAudio Finish')
if args.task == 'FAudio':
_, Flines = read_Vox_lines(args.list_Vox)
Flines_new = []
# Generate the video and audio
with Pool(args.num_cpu) as p:
Flines_new.append(p.starmap(generate_FAudio, zip(Flines, repeat(args))))
# Write the txt file
out_Flist_file = open(os.path.join(args.list_out, 'FAudio.txt'), "w")
for line_new in Flines_new[0]:
out_Flist_file.write(line_new)
print('FAudio Finish')
if args.task == 'TFAudio':
_, Flines = read_Vox_lines(args.list_Vox)
TFlines_new = []
# Generate the video and audio
with Pool(args.num_cpu) as p:
TFlines_new.append(p.starmap(generate_TFAudio, zip(Flines, repeat(args))))
# Write the txt file
out_TFlist_file = open(os.path.join(args.list_out, 'TFAudio.txt'), "w")
for line_new in TFlines_new[0]:
out_TFlist_file.write(line_new)
print('TFAudio Finish')
if args.task == 'TSilence':
Slines = read_LRS3_ST(args.list_LRS3_ST)
TSlines_new = []
with Pool(args.num_cpu) as p:
TSlines_new.append(p.starmap(generate_TSilence, zip(Slines, repeat(args))))
# Write the txt file
out_TSlist_file = open(os.path.join(args.list_out, 'TSilence.txt'), "w")
for line_new in TSlines_new[0]:
out_TSlist_file.write(line_new)
print('TSilence Finish')
if args.task == 'FSilence':
Tlines, _ = read_Vox_lines(args.list_Vox)
Slines = read_LRS3_S(args.list_LRS3_S)
FSlines_new = []
with Pool(args.num_cpu) as p:
FSlines_new.append(p.starmap(generate_FSilence, zip(Slines, repeat(Tlines), repeat(args))))
out_FSlist_file = open(os.path.join(args.list_out, 'FSilence.txt'), "w")
for line_new in FSlines_new[0]:
out_FSlist_file.write(line_new)
print('FSilence Finish')
if args.task == 'Fusion':
lines = []
for name in {'TAudio', 'FAudio', 'TFAudio', 'TSilence', 'FSilence'}:
with open(args.list_out + '/' + name + '.txt') as f:
while True:
line = f.readline()
if not line:
break
lines.append(line)
train_file = open(args.list_out_train, "w")
test_file = open(args.list_out_test, "w")
random.shuffle(lines)
for num, line in enumerate(lines):
data = line.split()
if float(data[3]) > 6: # For the data longer than 6s, we cut them into 6s, so that will make training process simple.
line = str(data[0]) + ' ' + str(data[1]) + ' ' + str(data[2]) + ' ' + \
str(min(float(data[3]), 6)) + ' ' + str(min(float(data[4]), 6)) + ' ' + \
str(min(float(data[5]), 6)) + ' ' + str(min(float(data[6]), 6)) + ' ' + \
str(min(float(data[7]), 6)) + ' ' + "%06d"%int(num) + '\n'
else:
line = str(data[0]) + ' ' + str(data[1]) + ' ' + str(data[2]) + ' ' + \
str(data[3]) + ' ' + str(data[4]) + ' ' + \
str(data[5]) + ' ' + str(data[6]) + ' ' + \
str(data[7]) + ' ' + "%06d"%int(num) + '\n'
if num % 30000 < 27000:
train_file.write(line)
else:
test_file.write(line) |