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[ASR] Multichannel mask estimator with flex number of channels #7317

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merged 2 commits into from
Oct 13, 2023

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@anteju anteju commented Aug 24, 2023

What does this PR do ?

This PR adds a multichannel mask estimator which can process flexible number of channels.
It also fixes some bugs related to PTL 2.0 and librosa version.

Collection: ASR

Changelog

  • added example config beamforming_flex_channels.yaml
  • add max_utts process_audio.py
  • updated librosa.get_duration to use path, since filename is deprecated
  • bumped librosa requirement to 0.10.0 in requirements_asr.py
  • added MaskEstimatorFlexChannels in audio_modules.py
  • added various multichannel modules in multichannel_modules.py, including ParametricMultichannelWienerFiler and ReferenceChannelEstimatorSNR
  • added unit tests for multichannel modules

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@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 8792b38 to 9756404 Compare August 24, 2023 21:08
@github-actions github-actions bot added TTS ASR and removed TTS labels Aug 24, 2023
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 8f27ca5 to 8e783d1 Compare August 24, 2023 22:06
@github-actions github-actions bot added the TTS label Aug 24, 2023
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 8e783d1 to 8984bcd Compare August 24, 2023 22:07
@github-actions github-actions bot removed the TTS label Aug 24, 2023
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 2 times, most recently from 8f9dda1 to 9b29881 Compare August 29, 2023 20:49
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 2 times, most recently from 65077d4 to 62a5bc1 Compare September 7, 2023 20:03
@anteju anteju marked this pull request as ready for review September 7, 2023 20:08
@anteju anteju requested a review from titu1994 September 9, 2023 06:04
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 62a5bc1 to f316a42 Compare September 9, 2023 06:04
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 2 times, most recently from 23e0eb8 to 1cb25f8 Compare September 20, 2023 21:49
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 1cb25f8 to 2727346 Compare September 25, 2023 23:12
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Excellent PR, very well documented and written. Mostly good to merge, but Id like some unit tests for the multiple modules added in this pr before merge.

Minor comments overall.

I noted the debug statements, but you can ignore them. They seem useful.

self.mixture_consistency = None

# Future enhancement:
# If subclasses need to modify the config before calling super()
# Check ASRBPE* classes do with their mixin

# Setup augmentation
if hasattr(self._cfg, 'channel_augment') and self._cfg.channel_augment is not None:
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Inside model, after constructor try to use self.cfg directly. No need for _cfg

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Done

'learning_rate': self._optimizer.param_groups[0]['lr'],
'global_step': torch.tensor(self.trainer.global_step, dtype=torch.float32),
}

return {'loss': loss_value, 'log': tensorboard_logs}
self.log_dict(tensorboard_logs, on_step=True, sync_dist=True)
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So you need to sync every step ? This is training metrics right ?

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I removed log_dict and use self.log similar to other models (without sync_dist)

nemo/collections/asr/modules/audio_modules.py Show resolved Hide resolved
nemo/collections/asr/modules/audio_modules.py Show resolved Hide resolved
@@ -562,7 +1015,7 @@ def forward(
as the input length.
"""
# Temporal weighting: average power over channels, shape (B, F, N)
weight = torch.mean(power, dim=1)
weight = torch.mean(power, dim=-3)
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Any reason to use -3 rather than 1?

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No special reason, reverted to dim=1

):
super().__init__()

self._rng = random.Random() if rng is None else rng
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Maybe some provision to set the seed ?

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Done, added optional seed parameter

logging.error('Could not import torchaudio. Some features might not work.')

raise ModuleNotFoundError(
"torchaudio is not installed but is necessary to instantiate a {self.__class__.__name__}"
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Needs fstring here

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Good catch, fixed.

"""
if self.subband_weighting:
# (B, F, M)
pow_s = torch.einsum('...jm,...jk,...km->...m', W.conj(), psd_s, W).abs()
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Just a note if you ever intend to export to onnx in the future, it doesn't have great support of einsum

@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 2 times, most recently from 9f93703 to 2a7ee0e Compare September 30, 2023 05:29
@anteju anteju requested a review from titu1994 September 30, 2023 05:35
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 2 times, most recently from b5ae877 to 79e6e20 Compare October 5, 2023 18:19
if isinstance(self.trainer.test_dataloaders, (list, tuple)) and len(self.trainer.test_dataloaders) > 1:
self.test_step_outputs[dataloader_idx].append(output_dict)
else:
self.test_step_outputs.append(output_dict)
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Moved handling of multiple dataloaders to audio_to_audio_model to validation_step and test_step.

@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 79e6e20 to 6ddcff1 Compare October 6, 2023 17:33
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Overall looks good !

titu1994
titu1994 previously approved these changes Oct 6, 2023
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 6ddcff1 to cd188a9 Compare October 9, 2023 17:42
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 4 times, most recently from 9caea32 to 25c9fa8 Compare October 10, 2023 20:44
titu1994
titu1994 previously approved these changes Oct 11, 2023
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LGTM

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Lets hold off merging until we can remove the pleasefixme's

@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch 4 times, most recently from e69329b to f4813e3 Compare October 12, 2023 00:50
…nels

Signed-off-by: Ante Jukić <ajukic@nvidia.com>
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from f4813e3 to 846ce27 Compare October 12, 2023 22:53
Signed-off-by: Ante Jukić <ajukic@nvidia.com>
@anteju anteju force-pushed the pr/flex-channel-mask-estimator branch from 846ce27 to cfec2be Compare October 13, 2023 00:24
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Looks great, @Kipok and @GNroy please look into the pleasefixme tests when you get time.

@titu1994 titu1994 merged commit 5a8ad7f into NVIDIA:main Oct 13, 2023
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yaoyu-33 pushed a commit that referenced this pull request Oct 16, 2023
* Adding a mask estimator which can process an arbitrary number of channels

Signed-off-by: Ante Jukić <ajukic@nvidia.com>

* Bypass failing tests + mark as pleasefixme

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---------

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pzelasko pushed a commit to pzelasko/NeMo that referenced this pull request Jan 3, 2024
…A#7317)

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pablo-garay pushed a commit that referenced this pull request Mar 19, 2024
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* [ASR] Multichannel mask estimator with flex number of channels (#7317)

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rohitrango pushed a commit to rohitrango/NeMo that referenced this pull request Jun 25, 2024
…A#7317)

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