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@ -16,7 +16,6 @@
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import argparse
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import argparse
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import inspect
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import logging
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import logging
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from functools import lru_cache
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from functools import lru_cache
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from pathlib import Path
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from pathlib import Path
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@ -190,7 +189,7 @@ class HiMiaWuwDataModule:
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"--input-strategy",
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"--input-strategy",
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type=str,
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type=str,
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default="PrecomputedFeatures",
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default="PrecomputedFeatures",
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help="PrecomputedFeatures",
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help="AudioSamples or PrecomputedFeatures",
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)
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)
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group.add_argument(
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group.add_argument(
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"--train-channel",
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"--train-channel",
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@ -198,6 +197,8 @@ class HiMiaWuwDataModule:
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default="_7_01",
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default="_7_01",
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help="""channel of HI_MIA train dataset.
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help="""channel of HI_MIA train dataset.
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All channels are used if it is set "all".
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All channels are used if it is set "all".
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Please refer state 6 in prepare.sh for its meaning and other
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potential values. Currently, Only "_7_01" is verified.
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""",
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""",
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)
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)
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group.add_argument(
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group.add_argument(
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@ -206,6 +207,8 @@ class HiMiaWuwDataModule:
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default="_7_01",
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default="_7_01",
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help="""channel of HI_MIA dev dataset.
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help="""channel of HI_MIA dev dataset.
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All channels are used if it is set "all".
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All channels are used if it is set "all".
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Please refer state 6 in prepare.sh for its meaning and other
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potential values. Currently, Only "_7_01" is verified.
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""",
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""",
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)
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)
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@ -248,22 +251,11 @@ class HiMiaWuwDataModule:
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input_transforms = []
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input_transforms = []
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if self.args.enable_spec_aug:
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if self.args.enable_spec_aug:
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logging.info("Enable SpecAugment")
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logging.info(f"Time warp factor: {self.args.spec_aug_time_warp_factor}")
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logging.info(f"Time warp factor: {self.args.spec_aug_time_warp_factor}")
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# Set the value of num_frame_masks according to Lhotse's version.
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# In different Lhotse's versions, the default of num_frame_masks is
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# different.
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num_frame_masks = 10
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num_frame_masks_parameter = inspect.signature(
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SpecAugment.__init__
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).parameters["num_frame_masks"]
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if num_frame_masks_parameter.default == 1:
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num_frame_masks = 2
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logging.info(f"Num frame mask: {num_frame_masks}")
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input_transforms.append(
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input_transforms.append(
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SpecAugment(
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SpecAugment(
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time_warp_factor=self.args.spec_aug_time_warp_factor,
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time_warp_factor=self.args.spec_aug_time_warp_factor,
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num_frame_masks=num_frame_masks,
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num_frame_masks=10,
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features_mask_size=27,
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features_mask_size=27,
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num_feature_masks=2,
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num_feature_masks=2,
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frames_mask_size=100,
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frames_mask_size=100,
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