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[audio_zen, recipes] keep directory structure #15

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[audio_zen, recipes] keep directory structure #15

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11 changes: 9 additions & 2 deletions audio_zen/inferencer/base_inferencer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -126,7 +126,7 @@ def __call__(self):

inference_args = self.inference_config["args"]

for noisy, name in tqdm(self.dataloader, desc="Inference"):
for noisy, name, noisy_file_path, dataset_dir in tqdm(self.dataloader, desc="Inference"):
assert len(name) == 1, "The batch size of inference stage must 1."
name = name[0]

Expand All @@ -140,4 +140,11 @@ def __call__(self):

# clnsp102_traffic_248091_3_snr0_tl-21_fileid_268 => clean_fileid_0
# name = "clean_" + "_".join(name.split("_")[-2:])
sf.write(self.enhanced_dir / f"{name}.wav", enhanced, samplerate=self.acoustic_config["sr"])
if dataset_dir is not None:
noisy_file_path = noisy_file_path[0]
dataset_dir = dataset_dir[0]
out_path = Path(str(noisy_file_path).replace(str(dataset_dir), str(self.enhanced_dir)))
prepare_empty_dir([out_path.parents[0]])
sf.write(out_path, enhanced, samplerate=self.acoustic_config["sr"])
else:
sf.write(self.enhanced_dir / f"{name}.wav", enhanced, samplerate=self.acoustic_config["sr"])
5 changes: 4 additions & 1 deletion recipes/dns_interspeech_2020/dataset_inference.py
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Expand Up @@ -25,6 +25,9 @@ def __init__(self,
dataset_dir = Path(dataset_dir).expanduser().absolute()
noisy_file_path_list += librosa.util.find_files(dataset_dir.as_posix()) # Sorted

self.dataset_dir = None
if len(dataset_dir_list) == 1:
self.dataset_dir = dataset_dir_list[0]
self.noisy_file_path_list = noisy_file_path_list
self.length = len(self.noisy_file_path_list)

Expand All @@ -36,4 +39,4 @@ def __getitem__(self, item):
noisy_y = librosa.load(noisy_file_path, sr=self.sr)[0]
noisy_y = noisy_y.astype(np.float32)

return noisy_y, basename(noisy_file_path)[0]
return noisy_y, basename(noisy_file_path)[0], noisy_file_path, self.dataset_dir