Adding recipe for Listenable Maps for Audio Classifiers #2538
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge pull request speechbrain#3 from fpaissan/eval_in_cemstuff
add latest eval setup - working on gradient-based
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Merge pull request speechbrain#4 from fpaissan/eval_in_cemstuff
move gradient_based to captum
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Commits on Jan 31, 2024
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Merge branch 'icml2024_cemstuff' of github.com:fpaissan/audio_interpr…
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Adding LMAC - needs refactor (speechbrain#5)
* WHAM-ing the data * AO on conv2d classifier * added interpretability metrics * fix debug steps -- updated * minor to train_piq * fix saving interpretations * add wham! for L2I * fix l2i eval * add NCC * cross correlation w/ batching * checked crosscor * finish finetuning script * switch to l1 * linters * add binarized oracle w/ BCE * fix compute loss in finetuning while saving samples * comparison script * fix 0dB mixtures * add original wav to comparison * just path to new classifier * just committing new checkpoint for L2I * add NMF image logging for debug * fix bug in viz L2I * log the number of finetuning masks * lower crosscor thr * fix acc * align L2I debugging w/ PIQ script * fixed accuracy computation for L2I * L2I with variable number of components (K=200) * debugging l2i... * update hparams * fixed oracle source * fixed wrong sources and running finetuning experiments.. * add AST as classifier * hparams ast -- still not converging * add ast augmentation * update training script after merge * with augmentations is better * just pushing hparams * classification with CE * conv2d fix for CE * playing with AST augmentation * fixed thresholding * starting to experiment with no wham noise stuff * add wham noise option in classifier training, dot prod correlation in finetuning * single mask training * added zero grad * added the entropy loss * implemented a psi function for cnn14 * Update README.md * added stft-mel transformation learning * add latest eval setup - working on gradient-based * removed unused brain -- was causing issues in weights loading.. * training l2i on this classifier * add l2i eval -- removing mosaic; not well defined in the case of L2I * removed old png file * debugging eval weight loading.. * was always using vq * fixed eval AO * fixed eval -- now everything's fine also for L2I * better numerical stability * handling quantus assertionerror * add saliency from captum * updated smoothgrad for captum * added norm to saliency * IG from captum * starting gradient-base eval on cnn14... * commit before merge * works on cnn14 -- but have a bad checkpoint * fixed l2i as well * fixed acc in l2i * fix not listenable * updated logging for eval * a bit less verbose * printing at sample level * fix logging - was missing avg * was messing up in the forward * now running train_piq.py * minor corrections * fix l2i training with wham! * fixed l2i computation * linters * add check for wham usage in eval * add sample saving during eval * bug fixes * added predictions info to the logging * fixed id for overlap test * cutting sample before saving * fixed l2i sampling rate * fixed random seed so eval will match * running on full set * faithfulness fix * remove pdb * fix smoothgrad and IG * fix nmf for pre-training * removed nmf reconstructions * truncated gaussian fix for smoothgrad * fix nans in sensitivity * better l2i psi network * saving to a different folder. helps not overriding experiments.. * fix l2i * fix csv logging of exps * add guided backprop * added gradcam. guided backprop and guided gradcam need debugging * l2i encoder 1D * mel only - ao * eval for mel only * changed logging to simple write * hardcoded checkpoint - to run on cc * save everything in one folder * remove joblib import * fixed eval? * fix eval again.. * maybe now? * trying on cc * add eval_outdir * runs full eval * l2i with updated psi * update gitignore * l2i logging different loss values * add us8k classifier * us8k interpretations * fixed guided backprop and guided gradcam * add shap * normalizing shap attributions * adding us8k prepare in interp.. * eval on ID * fixed backward compatibility * added multiclass classification * eval xplorer v1 * eval xplorer v2 * implemented multi label interpretation * update the loss function in multilabel interpretations * evaluation explorer - minor fixes * add roar * roar test * just removing a print... * add roar script * adding the user study parsing script * savefigs * fix to roar hparam * minor * extract samples for user study * fix bug roar * fixed roar * fix another copy-paste error * MRT eval * roar with random baseline * fix np seed * computes mrt metrics * saving masks for mrt viz * remove rand baseline roar * abs * gradcam eval * fix class * add mrt to l2i * train piq us8k * param in mrt_evaluator * add viz * adding the latest * fixing path problems for multilabelstuff * changed the loss function to output 10 masks * more standard maskout term * changed encoder loading to local * added accuracy computation * removed unnecessary evaluation methods * added all ones mask and average energy computation * fixed the bug for whitenoise * pushing eval later * l2i new ood * removing useless files * cleaning up classification as well * removing useless hparams in interpret * more useless files * old linters * fix paths * fix paths * update Cnn14 * restored old piq file * wham on PIQ --------- Co-authored-by: Cem Subakan <csubakan@gmail.com> Co-authored-by: Francesco Paissan <fpaissan@cedar1.cedar.computecanada.ca>
3 people committedApr 17, 2024
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* Skip lazy imports when the caller is inspect.py This avoids having certain inspect functions import our lazy modules when we don't want them to. `getframeinfo` in particular appears to do it, and this gets called by PyTorch at some point. IPython might also be doing it but autocomplete still seems to work. This does not appear to break anything. Added test for hyperpyyaml to ensure we're not breaking that. * SSL_Semantic_Token _ new PR (speechbrain#2509) * remove unnecassry files and move to dasb * remove extra recepie from test * update ljspeech qunatization recepie * add discrete_ssl and remove extra files * fix precommit * update kmeans and add tokeizer for postprocessing * fix precommit * Update discrete_ssl.py * fix clone warning --------- Co-authored-by: Mirco Ravanelli <mirco.ravanelli@gmail.com> * _ensure_module Raises docstring * Expose `ensure_module` so that docs get generated for it This is already an internal class anyway, and this is safe to call. * Update actions/setup-python * Use `uv` in test CI + merge some dep installs The consequence is faster dependency installation. Merging some of the dependency installs helps avoid some packages being reinstalled from one line to the next. Additionally, CPU versions are specified when relevant, to avoid downloading CUDA stuff the CI can't use anyway. * Use `uv` in doc CI + merge some dep installs Similar rationale as for the test CI * Parallelize doc generation with Sphinx This does not affect the entire doc generation process but should allow some minor multithreading even with the 2-core CI workers. * Enable `uv` caching on the test CI * Enable `uv` caching on the docs CI * CTC-only training recipes for LibriSpeech (code from Samsung AI Cambridge) (speechbrain#2290) CTC-only pre-training of conformer and branchformer. --------- Co-authored-by: Shucong Zhang/Embedded AI /SRUK/Engineer/Samsung Electronics <s1.zhang@sruk-ccn4.eu.corp.samsungelectronics.net> Co-authored-by: Adel Moumen <adelmoumen.pro@gmail.com> Co-authored-by: Adel Moumen <88119391+Adel-Moumen@users.noreply.github.com> Co-authored-by: Parcollet Titouan <titouan.parcollet@univ-avignon.fr> * Update CommonVoice transformer recipes (code from Samsung AI Center Cambridge) (speechbrain#2465) * Update CV transformer recipes to match latest results with conformer. --------- Co-authored-by: Titouan Parcollet/Embedded AI /SRUK/Engineer/Samsung Electronics <t.parcollet@sruk-ccn4.eu.corp.samsungelectronics.net> Co-authored-by: Mirco Ravanelli <mirco.ravanelli@gmail.com> Co-authored-by: Adel Moumen <adelmoumen.pro@gmail.com> * Whisper improvements: flash attention, KV caching, lang_id, translation, training... (speechbrain#2450) Whisper improvements: - flash attention - kv caching - lang identifaction - translation - finetuning amelioration ... and more ... * Update README.md * precommit * update zed download link (speechbrain#2514) * `RelPosEncXL` refactor and precision fixes (speechbrain#2498) * Add `RelPosEncXL.make_pe`, rework precision handling * Rework RelPosEncXL output dtype selection * Fix in-place input normalization when using `sentence`/`speaker` norm (speechbrain#2504) * fix LOCAL_RANK to be RANK in if_main_process (speechbrain#2506) * Fix Separation and Enhancement recipes behavior when NaN encountered (speechbrain#2524) * Fix Separation and Enhancement recipes behavior when NaN encountered * Formatting using precommit hooks * Lock torch version in requirements.txt (speechbrain#2528) * Fix compatibility for torchaudio versions without `.io` (speechbrain#2532) This avoids having the Python interpreter attempt to resolve the type annotation directly. * fix docstrings * consistency tests - classification * consistency tests - classification * consistency tests - interpret * default to no wham * fix after tests pass * fix after tests pass * tests after that * fix consistency --------- Co-authored-by: asu <sdelang@sdelang.fr> Co-authored-by: Pooneh Mousavi <moosavi.pooneh@gmail.com> Co-authored-by: Mirco Ravanelli <mirco.ravanelli@gmail.com> Co-authored-by: shucongzhang <104781888+shucongzhang@users.noreply.github.com> Co-authored-by: Shucong Zhang/Embedded AI /SRUK/Engineer/Samsung Electronics <s1.zhang@sruk-ccn4.eu.corp.samsungelectronics.net> Co-authored-by: Adel Moumen <adelmoumen.pro@gmail.com> Co-authored-by: Adel Moumen <88119391+Adel-Moumen@users.noreply.github.com> Co-authored-by: Parcollet Titouan <titouan.parcollet@univ-avignon.fr> Co-authored-by: Parcollet Titouan <parcollet.titouan@gmail.com> Co-authored-by: Titouan Parcollet/Embedded AI /SRUK/Engineer/Samsung Electronics <t.parcollet@sruk-ccn4.eu.corp.samsungelectronics.net> Co-authored-by: Yingzhi WANG <41187612+BenoitWang@users.noreply.github.com> Co-authored-by: Peter Plantinga <plantinga.peter@protonmail.com> Co-authored-by: Séverin <123748182+SevKod@users.noreply.github.com>
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Merge branch 'refactor_lmac' of github.com:fpaissan/audio_interpretab…
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Merge branch 'develop' of github.com:fpaissan/audio_interpretability …
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Merge branch 'refactor_lmac' of github.com:fpaissan/audio_interpretab…
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Merge branch 'refactor_lmac' of github.com:fpaissan/audio_interpretab…
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Merge branch 'refactor_lmac' of github.com:fpaissan/audio_interpretab…
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