pyClarity

Getting Started:

Installation
- PyPi
- GitHub
  - Pip GitHub install
  - Manual Cloning and Installation
Usage

API Documentation:

Enhancer
- compressor
- nalr
- Dnn
  - mc_conv_tasnet
- Dsp
  - filter
- Gha
- Multiband Compressor
Evaluator
- Haaqi
  - haaqi
- Haspi
  - eb
  - ebm
  - haspi
  - ip
- Hasqi
  - hasqi
- Mbstoi
  - mbstoi
  - mbstoi_utils
- Msbg
  - cochlea
  - msbg
  - msbg_utils
  - smearing
Predictor
- torch_msbg
- torch_stoi
Data
Dataset
- cec1_dataset
Utils

Cadenza Challenge Recipes:

CAD2
- Task1
  - Convtasnet
    - eval
    - train
    - Local
  - Baseline
    - enhance
    - evaluate
- Task2
ICASSP 2024
- Baseline
- Generate Dataset
  - generate_at_mic_musdb18
  - generate_train_scenes
CAD1
- Task1
  - Baseline
- Task2
  - Baseline
  - Data Preparation
    - build_scene_metadata

Clarity Challenge Recipes:

CPC3
- Baseline
CEC3
- Baseline
  - enhance
  - evaluate
  - report_score
  - Hydra
    - Launcher
CPC2
- Baseline
ICASSP 2023
- Baseline
CEC2
- Baseline
- Data Preparation
CPC1
CEC1
- Baseline
  - enhance
  - evaluate
- Data Preparation
  - prepare_cec1_data
- E009 Sheffield
  - test
  - train

Contributing:

Contributing to pyClarity
Contributor Covenant Code of Conduct

pyClarity

CAD2
Task2
Convtasnet
View page source

Convtasnet

Python Modules

`recipes.cad2.task2.ConvTasNet.eval`	Model evaluation script for Conv-TasNet.
`recipes.cad2.task2.ConvTasNet.train`

Convtasnet Details:

Local
- cad2task2_dataloader
- tasnet

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