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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[xxx] - 2021-01-05

Breaking

Added

Changed

Fixed

[0.5.2] - 2021-12-06

Added

  • [src&egs] Add VAD in Asteroid 🎉 (#558)
  • [src&tests] Add GEVD beamformer (#520)
  • [hub] Add library version and name for Hugging Face download stats (#524)
  • [egs] Add recipe for Multi-Decoder DPRNN (#463)
  • [egs] Enable WER eval with GPU (#541)
  • [egs] Add readme and pretrained model to FaSNet recipe (#561)

Changed

  • [src] Make cLN default in causal ConvTasNet (#511)
  • [install] Pin pytorch-optimizer version to support RAdam (#568)

Fixed

  • [src] Prevent complex eigen values in gev (#519)
  • [src] Fix default norm_type for causal ConvTasNet (#503)
  • [egs] Fixed bug in X-UMX (#521)
  • [nbs] asteroid.filterbanks to asteroid_filterbanks (#526)
  • [nbs] Fix typos in notebooks/02_Filterbank.ipynb (#527)
  • [install] Fix PL version <1.5.0 (#576)

[0.5.1] - 2021-05-07

  • [install] Lift the ligthning<1.3.0 restriction (#495)

[0.5.0] - 2021-05-07

Breaking

  • [src&tests] Remove all deprecated code (#474)
  • [all] Drop support for torch<1.8.0 (#476)

Added

  • [src] Beamforming: Souden MVDR and optimal channel selection (#484)
  • [src&egs] X-UMX Official baseline for Music Demixing Challenge (#490)

Changed

  • [src] Compute linalg beamforming ops in double (#482)
  • [src] Improve Beamforming naming and add TODOs (#483)
  • [src] Beamforming: enable forcing float linalg ops (#485)
  • [docs] Update instructions for pretrained model sharing (#489)
  • [install] Bump lightning version under 1.3.0 (#493)

Fixed

  • [nb] Fix shape in 00_GettingStarted.ipynb (#478)
  • [src] Stabilize GEV beamformer (#479)
  • [src] Beamforming: fix doc references

[0.4.5] - 2021-04-09

  • [src] Fix padding in DCUNet ConvTranspose2d (#466)
  • [src&tests] Causal TDConvNet and ConvTasNet (#465)
  • [tests] Fix test from #465 (#467)
  • [docs] Fix wrong doclinks (#469)
  • [docs] Fix docs (links and errors) (#470)
  • [src&tests] Add beamforming modules 🎉 (#468)

[0.4.2] - 2021-02-18

Breaking

  • [src] Make sample_rate positional in BaseModel (#431)

Added

  • [src&egs] ESPNet in LibriMix recipe 🎉 (#329)
  • [cli] Add --device to asteroid-infer (#375)
  • [src] Add stft_n_filters to BaseDCUNet (#406)
  • [src&tests] Add MetricTracker (#394)
  • [egs] Librimix recipes for all models (#418)
  • [src] Track transcriptions in WerTracker (#414)
  • [docs] Add note about System Lightning hooks (#428)
  • [src] Support Multichannel models (#427)
  • [src&egs] Add FasNetTAC model, dataset and recipe (#306)
  • [src] Add mulcat option to DPRNN (#416)

Changed

  • [src&install] Drop librosa and refactor requirements files (#386)
  • [src] Remove unused hooks (#424)
  • [hub] Use huggingface_hub deps, remove inlined HF code (#409)

Fixed

  • [egs] Pass samplerate to model (#407)
  • [src] Fix Large-DCUNet-20 arch (#405)
  • [src] Fix inconsistent devices for tensors (#417)
  • [egs] Fix model saving path in DeepClustering recipes(#398)
  • [src] Fix unpassed SR in TasNet and SudoRMRF (#433)
  • [egs] Fix reshaping issue in AVSpeech (#441)

[0.4.1] - 2021-01-05

Added

  • [hub] Support for huggingface model hub 🎉 (#377)
  • [hub] List asteroid models HF's hub (#382)
  • [install] Deduplicate version number (#388)

Changed

  • [docs] Migrate to asteroid-team (#369)
  • [src] Import BaseModel from .models
  • [src] Upgrade Lightning to 1.x (#371)

Fixed

  • [install] Fix old STFT model loading (thanks @popcornell)
  • [hub] Fix torch.hub tests Add new dependencies from #377
  • [src] bug in attention.py due to mha input shape (#381)
  • [src] hopefully fixes DPTNet this time (#383)
  • [src] Remove call to super().training_step() (#395)

[0.4.0] - 2020-11-30

Breaking

  • [src] BC-breaking: Load models without sample_rate (#285)
  • [src] Remove deprecated losses (#343)
  • [src] Remove deprecated blocks (#344)
  • [src] BaseEncoderMaskerDecoder: remove old hooks (#309)
  • [src] Remove deprecated kernel_size in TDConvNet (#368)

Added

  • [src&tests] Add sample_rate property (float) in BaseModel. (#274)
  • [src] Add sample_rate argument to all supported models. (#284)
  • [src&tests] Automatic resampling in separate + CLI. (#283)
  • [src & tests] 🎉 TorchScript support 🎉 (#237)
  • [src & tests] Add Hungarian matcher to solve LSA in PITLossWrapper (#243)
  • [src&tests] Add jitable_shape and use it in EncMaskDec forward (#288)
  • [src&tests] Add shape checks to SDR and MSE losses (#299)
  • [docs] Add loss plot in the FAQ (#314)
  • [src] New asteroid.show_available_models (#313)
  • [egs] DAMP-VSEP vocal separation using ConvTasNet (#298)
  • [docs] DAMP-VSEP in the docs ! (#317)
  • [src&test] Add Sinkhorn PIT loss (#302)
  • [src] Add MixITWrapper loss (#320)
  • [egs] Add MixIT example recipe (#328)
  • [src] New Filterbank's hooks + add MelGram_FB (#334)
  • [src] New phase features and transforms (#333)
  • [src] Better names in asteroid.filterbanks.transforms (#342)
  • [src] Add asteroid-versions script to print installed versions (#349)
  • [install] Add conda environment.yml (#354)
  • [src] Add ebased_vad and deltas (#355)

Changed

  • [src&tests] Make get_metrics robust against metrics failures (#275)
  • [egs] Don't override print() with pprint (#281)
  • [src] Refactor BaseEncoderMaskerDecoder.forward (#307)
  • [src&tests] Refactor DeMask for consistency (#304)
  • [docs] Replace GettingStarted notebook (#319)
  • [src] BaseModel takes sample_rate argument (#336)
  • [src&egs] Transition to asteroid_filterbanks (#346)
  • [src] Rename _separate to forward_wav (#337)
  • [docs] Build docs with 3.8
  • [docs] Links to GitHub code from the docs 🎉 (#363)
  • [CI&hub] TorchHub integration tests (#362)

Fixed

  • [egs] Fix #277 DNS Challenge baseline's run.sh
  • [docs] Fix Reference and Example blocks in docs (#297)
  • [src] Fix #300: skip connection on good device (#301)
  • [src] DCUNet: Replace old hooks by new ones (#308)
  • [src] Fix schedulers serialization (#326)
  • [src] Improve Filterbank.forward error message (#327)
  • [egs] Fix: replace DPRNNTasNet with DPTNet (#331)
  • [src&jit] Fix DCCRN and DCUNet-Large (#276)
  • [CI] Catch warnings we expect (#351)
  • [src] Fix #279 OLA support for separate() and asteroid-infer (#305)
  • [docs] Docs fixes and improvements (#340)
  • [docs] Fix CLI output in docs (#357)
  • [src&tests] Fix complex and add tests (#358)
  • [docs] Fix docstrings (#365)
  • [src] Fix #360 Correct DCCRN RNN (#364)

[0.3.5] - 2020-11-10

Limit pytorch-lightning version to under 1.x for version 0.3.4 to keep working.

[0.3.4] - 2020-10-07

Added

  • [hub] Add tmirzaev's model in the string-retrievable ones.
  • [src] BaseTasNet -> BaseEncoderMaskerDecoder + add model hooks (#266)
  • [src & tests] New complex ops + Add DCUNet and DCCRNet (#224)
  • [src&tests] Improve scheduler's docs + add plot method (#268)

Changed

  • [hub] Add software version section in published models (#261)
  • [docs] Add issue #250 to FAQ (#260)
  • [black] Update black to 20.8b1 (#265)
  • [black] Fix black 20.8b1 update (#267)
  • [black] Update to 20.8b1 + always lint

Fixed

  • [egs] Fix declared unused variables in DeMask (#248)
  • [docs] Update article citation.
  • [src] Restore linear activation as default in ConvTasNet and DPRNN (#258)
  • [src] Fix uncalled optimizer in System without LR schedule (#259)
  • [src] Fix bug for DPTNetScheduler (#262)
  • [src] Fix LambdaOverlapAdd and improve docs (#271)

[0.3.3] - 2020-08-25

Added

  • [hub] Add DeMask to hubconf (#242)
  • [models] Add 16k popcornell/DPRNNTasNet_WHAM_enhancesingle enhancement
  • [src & egs] Add DeMask: Surgical mask speech enhancement recipes (#235)
  • [models] Add pretrained DeMask name to URL mapping
  • [src & egs] PyTorchLightning upgrade to 0.9.0 (stable from 0.8.1 on) (#217)
  • [CLI] Add asteroid-infer CLI to enhance/separate from the command line (#236)
  • [docs] New docs theme ! (#230)
  • [tests] Improve tests for new model interface (#234)
  • [docs] Add license info to FUSS Dataset
  • [src] Cleaner try/except/else in base_models.py (thanks @jonashaag)
  • [src] Add LibriMix.loaders_from_mini in librimix_dataset.py (#229)
  • [src] Add register command to gettable modules (#231)
  • [models] Add groadabike's pretrained model's URL (#228)
  • [src] Import MultiScale spectral loss in init.py
  • [docs] Include new notebook: follow up of #221 (#226)
  • [src] Add LambdaOverlapAdd usage example (#221)

Changed

  • [src] Improve BaseModel.separate (#236 follow up) (#238)
  • [hub] Remove args in hub models, don't accept positional args after kwargs
  • [src] Refactor BaseTasnNet in two: better loadable/serializable models (#232)

Fixed

  • [CLI] Fix large output volume in asteroid-infer
  • [docs] Fix theme installation, grunt build and import errors in docs (#240)
  • [tests] Fix wrong separate method in model tests (#241)
  • [src] Recipe name in publisher + dataset name fix (#239)

[0.3.2] - 2020-08-21

Added

  • [tests] Add scheduler tests (#220)
  • [docs] Add schedulers, activations docs and improve datasets' docs (#219)
  • [docs] Add DSP section to docs (#218)
  • [docs] Add FUSSdataset to docs
  • [docs] Add schedulers in docs
  • [docs] Add activations to docs
  • [src] Add FUSS dataset from FUSS PR (#215)
  • [src & tests] Add TDCN++ to masknn (#214)
  • [hub] Add LSTMTasNet/DPTNet/SuDORMRFNet to torch.hub! (#210)
  • [src & tests] Add LSTMTasNet to serializable models (#209)
  • [src] Continuous Speech separation with LambdaOverlapAdd (#193)
  • [src] Continuous Speech separation with OverlappadWrapper (#191)
  • [src & tests] Add SuDoRM-RF model & online mixing collate function (#174)
  • [src, tests & egs] Batchwise learning rate schedulers + DPProcessing + Dual Path Transformer Network + recipe (#200)
  • [docs] Add black code-style
  • [hub] Add Brij's LibriMix enhancement model
  • [src] Adds Dataset for SmsWsj (#179)
  • [docs] STOI loss example: Add sample rate (#189)
  • [src & tests] Add feature-wise global layernorm (#170)

Changed

  • [src & tests] Split SuDORMRF architectures in encoder/masker/decoder (#208)
  • [src] Code-style + docs
  • [src & tests] (BWI) Gather DSP methods in dsp folder (#194)
  • [egs] EarlyStopping Patience to 30 instead of 10. (#178)

Fixed

  • [src & tests] Fix bug when scheduler=None in System (#223)
  • [src] Fix docs append problem in STOI.
  • [black] Apply black to recipes (#216)
  • [tests & CI] Fix tests for publishing (#211)
  • [notebooks] Fix notebooks (#206)
  • [src & tests] Fix serialization issues introduced in previous PR + some docs (#204)
  • [egs] Remove file librimix/model.py as model is imported from asteroid.models (#176)
  • [egs] Dynamic Mixing fix (#173)
  • [instal] Fix pytorch-lightning dependency (#159)
  • [egs] Fix empty audio, multi gpu and reduced storage issues in avspeech (#169)
  • [egs] Fix style in model.py
  • [egs] Fix bugs in generating wsj0-mix dataset with wv1 (#166)
  • [egs] Fix wrong rel path in wham/DPRNN prepare_data.sh (#167)
  • [egs] Fix clipping problems when saving estimate wav file for Wham ConvTasNet (#160)

Backward incompatible changes

  • Move mixture_consistency in dsp folder.

[0.3.1] - 2020-08-20

Use 0.3.2 instead.

[0.3.0] - 2020-06-16

Added

[src & egs] Publishing pretrained models!! (wham/ConvTasNet) (#125) [src] Add License info on all (but MUSDB) supported datasets (#130) [src & egs] Kinect-WSJ Dataset and Single channel DC Recipe (#131) [src] Add licenses info and dataset name for model publishing [docs] Add getting started notebook [docs] Add notebook summary table [egs] Enable pretrained models sharing on LibriMix (#132) [egs] Enable wham/DPRNN model sharing (#135) [model_cards] Add message to create model card after publishing [model_cards] Add ConvTasNet_LibriMix_sepnoisy.md model card (Thanks @JorisCos) [src & egs] Adding AVSpeech AudioVisual source separation (#127) [src] Instantiate LibriMix from download with class method (#144) [src] Add show_available_models in asteroid init [src & tests] Bidirectional residual RNN (#146) [src & tests] Support filenames at the input of separate (#154)

Changed

[src & hub] Remove System to reduce torch.hub deps (back to #112) [src & tests & egs] Refactor utils files into folder (#120) [egs] GPU id defaults to $CUDA_VISIBLE_DEVICES in all recipes (#128) [egs] set -e in all recipes to exit or errors (#129) [egs] Remove gpus args in all train.py (--id controls that in run.sh) (#134) [hub] Change dataset name in LibriMix (fix) [src] Add targets argument (to stack sources) to MUSDB18 (#143) [notebooks] Rename examples to notebooks [src] Enable using Zenodo without api_key argument (set ACCESS_TOKEN env variable)

Deprecated

[src] Deprecate inputs_and_masks.py (#117) [src] Deprecate PITLossWrapper mode argument (#119)

Fixed

[src] Fix PMSQE loss (NAN backward + device placement) (#121) [egs] Fix checkpoint.best_k_models in new PL version (#123) [egs] Fix: remove shuffle=True in validation Loader (lightning error) (#124) [egs] Corrections on LibriMix eval and train and evals scripts (#137) [egs] Fix wavfiles saving in eval.py for enh_single and enh_both tasks (closes #139) [egs] Fix wavfiles saving in eval.py for enh tasks (estimates) [egs] Fix #139 : correct squeeze for enhancement tasks (#142) [egs] Fix librimix run.sh and eval.py (#148)

[0.2.1] - 25/05/2020

Added

  • [src] Add dataset_name attribute to all data.Dataset (#113) (@mpariente)
  • [hub] Add hubconf.py: load asteroid models without install! (#112) (@mpariente)
  • [src] Add support to the MUSDB18 dataset (#110) (@faroit)
  • [src & tests] Importable models: ConvTasNet and DPRNNTasNet (#109) (@mpariente)

Changed

  • [src & tests] Depend on torch_optimizer for optimizers (#116) (@mpariente)
  • [src & tests] Upgrade pytorch-lightning to >= 0.7.3 (#115) (@mpariente)
  • [src] Reverts part of #112 (0.2.1 should be fully backward compatible) (@mpariente)
  • [src] Change .pth convention for asteroid-models (#111) (@mpariente)
  • [src] Split blocks in convolutional and recurrent (#107) (@mpariente)
  • [install] Update pb_bss_eval to zero-mean si-sdr (@mpariente)

Deprecated

  • [src] Deprecate kernel_size arg for conv_kernel_size in TDConvNet (#108) (@mpariente)
  • [src] Deprecate masknn.blocks (splited) (#107) (@mpariente)

Fixed

  • [src] Fix docstring after #108 (@mpariente)
  • [egs] Replace PITLossWrapper arg mode by pit_from (#103) (@mpariente)

[0.2.0] - 08/05/2020

Added

  • [egs] Deep clustering/Chimera++ recipe (#96) (@mpariente)
  • [src & egs] Source changes towards deep clustering recipe (#95) (@mpariente)
  • [docs] Add training logic figure (#94) (@mpariente)
  • [install] Include PMSQE matrices in setup.py (@mpariente)
  • [src & egs] DPRNN architecture change + replicated results (#93) (@mpariente)
  • [egs] Two step recipe : update results (#91) (@etzinis)
  • [src & tests] Add multi-phase gammatone filterbank (#89) (@dditter)
  • [src] Stabilize consistency constraint (@mpariente)
  • [src] LibriMix dataset importable from data (@mpariente)
  • [src & egs] LibriMix dataset support and ConvTasnet recipe (#87) (@JorisCos)
  • [egs] Dynamic mixing for Wham (#80) (@popcornell)
  • [egs] Add FUSS data preparation files (#86) (@michelolzam)
  • [src & tests] Implement MISI (#85) (@mpariente)
  • [src] ConvTasnetv1 available : no skip option to TDCN (#82) (@mpariente)
  • [src & tests] Implement GriffinLim (#83) (@mpariente)
  • [docs] Add reduce example in PITLossWrapper (@mpariente)
  • [src & tests] Generalize! Implement pairwise losses reduce function (#81) (@mpariente)
  • [src & tests] Add support for STOI loss (#79) (@mpariente)
  • [src] Support padding and output_padding in Encoder and Decoder (#78) (@mpariente)
  • [src & tests] Added mixture consistency constraints (#77) (@mpariente)
  • [logo] Add white-themed asteroid logo (@mpariente)
  • [egs] Add Two step source separation recipe (#67) (@etzinis)
  • [src] Add train kwarg in System's common_step for easier subclassing. (@mpariente)
  • [egs] Upload Tasnet WHAMR results (@mpariente)
  • [src & tests] Add PMSQE loss in asteroid (#65) (@mdjuamart)
  • [src] Add Ranger in supported optimizers (@mpariente)

Changed

  • [egs] Remove python installs in recipes (#100) (@mpariente)
  • [egs] Remove abs path in recipes (#99) (@mpariente)
  • [egs] Add DC requirements.txt (@mpariente)
  • [egs] Remove file headers (@mpariente)
  • [src] Remove Chimerapp from blocks.py (#98) (@mpariente)
  • [egs] Better logging : copy logs to expdir (#102) (@mpariente)
  • [src] Delete wav.py (@mpariente)
  • [egs] Delete unused file (@mpariente)
  • [ci] Restore old travis.yml (reverts part of #61) (@mpariente)
  • [egs] Utils symlink sms_wsj (@mpariente)
  • [egs] Utils symlink wham/TwoStep (@mpariente)
  • [egs] Utils symlink wham/DPRNN (@mpariente)
  • [egs] Utils symlink LibriMix (@mpariente)
  • [src & egs] Replace WSJ0-mix Dataset (#97) (@mpariente)

Fixed

  • [src] Return config in DPRNN.get_config() (@mpariente)
  • [egs] Fix typo in LibriMix import (@mpariente)
  • [egs] Twostep recipe small fixes (#74) (@mpariente)
  • [egs] Fixed mode overwriting in all wham recipes (#76) (@Ariel12321)
  • [egs] Fixed mode overwriting in ConvTasNet recipe (#75) (@Ariel12321)
  • Fix build erros (Pin sphinx < 3.0) (#72) (@mpariente)
  • Fixing paths for wham scripts and unziping command for noise (#66) (@etzinis)
  • Fix whamr_dataset.py, map reverb to anechoic (@mpariente)
  • Important fix : WHAMR tasks include dereverberation! (@mpariente)