RaphaelOlivier
commited on
Commit
•
180d08d
1
Parent(s):
c209c87
reduce number of splits
Browse files- librispeech_asr_adversarial.py +14 -27
librispeech_asr_adversarial.py
CHANGED
@@ -94,11 +94,12 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
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{
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"file": datasets.Value("string"),
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"audio": datasets.features.Audio(sampling_rate=16_000),
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"
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"id": datasets.Value("string"),
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}
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),
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-
supervised_keys=("speech", "
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homepage=_DL_URL,
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citation=_CITATION,
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)
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@@ -109,34 +110,20 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
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_DL_URLS[self.config.name])
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return [
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datasets.SplitGenerator(name="
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"archive_path": archive_path["test"], "split_name": f"
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datasets.SplitGenerator(name="adv_0.
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"archive_path": archive_path["test"], "split_name": f"adv_0.
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datasets.SplitGenerator(name="adv_0.
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"archive_path": archive_path["test"], "split_name": f"adv_0.
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datasets.SplitGenerator(name="adv_0.
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"archive_path": archive_path["test"], "split_name": f"adv_0.
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datasets.SplitGenerator(name="natural_adv_txt", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"natural_adv_txt"}),
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datasets.SplitGenerator(name="adv_0.04_adv_txt", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"adv_0.04_adv_txt"}),
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datasets.SplitGenerator(name="adv_0.015_adv_txt", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"adv_0.015_adv_txt"}),
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datasets.SplitGenerator(name="adv_0.015_RIR_adv_txt", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"adv_0.015_RIR_adv_txt"}),
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]
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def _generate_examples(self, archive_path, split_name):
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"""Generate examples from a Librispeech archive_path."""
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transcript_file = os.path.join(archive_path, "manifest.txt")
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-
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split_folder = split_name[: -8]
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use_adv_transcript = True
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else:
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assert split_name.endswith("_nat_txt")
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split_folder = split_name[: -8]
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use_adv_transcript = False
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path = os.path.dirname(transcript_file)
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audio_path = os.path.join(path, split_folder)
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@@ -144,7 +131,6 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
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for line in f:
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line = line.strip()
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key, og_transcript, adv_transcript = line.split(",", 2)
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-
transcript = adv_transcript if use_adv_transcript else og_transcript
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suffix = "nat" if split_folder == "natural" else "adv"
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audio_file = f"{key}_{suffix}.wav"
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split_key = key+"_"+suffix+"_"+split_name
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@@ -152,6 +138,7 @@ class LibrispeechASR(datasets.GeneratorBasedBuilder):
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"id": split_key,
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"file": os.path.join(audio_path, audio_file),
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"audio": os.path.join(audio_path, audio_file),
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"
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}
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yield split_key, example
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{
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"file": datasets.Value("string"),
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"audio": datasets.features.Audio(sampling_rate=16_000),
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+
"true_text": datasets.Value("string"),
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"target_text": datasets.Value("string"),
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"id": datasets.Value("string"),
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}
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),
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+
supervised_keys=("speech", "true_text"),
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homepage=_DL_URL,
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citation=_CITATION,
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)
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_DL_URLS[self.config.name])
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return [
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+
datasets.SplitGenerator(name="natural", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"natural"}),
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datasets.SplitGenerator(name="adv_0.04", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"adv_0.04"}),
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datasets.SplitGenerator(name="adv_0.015", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"adv_0.015"}),
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datasets.SplitGenerator(name="adv_0.015_RIR", gen_kwargs={
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"archive_path": archive_path["test"], "split_name": f"adv_0.015_RIR"}),
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]
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def _generate_examples(self, archive_path, split_name):
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"""Generate examples from a Librispeech archive_path."""
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transcript_file = os.path.join(archive_path, "manifest.txt")
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+
split_folder = split_name
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path = os.path.dirname(transcript_file)
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audio_path = os.path.join(path, split_folder)
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for line in f:
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line = line.strip()
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key, og_transcript, adv_transcript = line.split(",", 2)
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suffix = "nat" if split_folder == "natural" else "adv"
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audio_file = f"{key}_{suffix}.wav"
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split_key = key+"_"+suffix+"_"+split_name
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"id": split_key,
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"file": os.path.join(audio_path, audio_file),
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"audio": os.path.join(audio_path, audio_file),
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"true_text": og_transcript,
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"target_text": adv_transcript,
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}
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yield split_key, example
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