mrq/DL-Art-School
1
3
Fork 5
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Add resume into speech-speech

Browse Source
This commit is contained in:
James Betker 2021-12-29 08:50:49 -07:00
parent 0e4bcc33ab
commit af6d5cd526
1 changed files with 9 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
codes/scripts/audio/speech_to_speech_clip.py
View File

@ -46,6 +46,11 @@ def process_subdir(subdir, options, clip_sz):
root, paths = subdir
root = str(root)
output_file = os.path.join(root, 'similarities.pth')
if os.path.exists(output_file):
print(f'{root} already processed. Skipping.')
return
print(f'Processing {root}..')
clips = []
for path in paths:
@ -70,6 +75,8 @@ def process_subdir(subdir, options, clip_sz):
sims = torch.cat([sims, outp], dim=0)
simmap = {}
# TODO: this can be further improved. We're just taking the topk here but, there is no gaurantee that there is 3
# samples from the same speaker in any given folder.
for path, sim in zip(paths, sims):
n = min(4, len(sim))
top3 = torch.topk(sim, n)
@ -82,7 +89,7 @@ def process_subdir(subdir, options, clip_sz):
top_ind = top3.indices[i]
simpaths.append(os.path.relpath(paths[top_ind], root))
simmap[rel] = simpaths
torch.save(simmap, os.path.join(root, 'similarities.pth'))
torch.save(simmap, output_file)
if __name__ == '__main__':
@ -94,7 +101,7 @@ if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-o', type=str, help='Path to the options YAML file used to train the CLIP model', default='../options/train_voice_voice_clip.yml')
parser.add_argument('--num_workers', type=int, help='Number concurrent processes to use', default=1)
parser.add_argument('--root_path', type=str, help='Root path to search for audio directories from', default='Z:\\clips\\podcasts-0\\7_Joe Rogan Experience #1004 - W. Kamau Bell')
parser.add_argument('--root_path', type=str, help='Root path to search for audio directories from', default='Y:\\clips\\podcasts-0\\5177_20190625-Food Waste is Solvable')
parser.add_argument('--clip_size', type=int, help='Amount of audio samples to pull from each file', default=22050)
args = parser.parse_args()