All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog.
[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)
[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
[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)
- [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)
- [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)
- [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)
- [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)
- [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)
- [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)
- Move
mixture_consistency
indsp
folder.
Use 0.3.2 instead.
[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)
[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)
[src] Deprecate inputs_and_masks.py (#117)
[src] Deprecate PITLossWrapper mode
argument (#119)
[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)
- [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)
- [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)
- [src] Deprecate kernel_size arg for conv_kernel_size in TDConvNet (#108) (@mpariente)
- [src] Deprecate masknn.blocks (splited) (#107) (@mpariente)
- [src] Fix docstring after #108 (@mpariente)
- [egs] Replace PITLossWrapper arg mode by pit_from (#103) (@mpariente)
- [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)
- [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)
- [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)