asteroid
v0.3.2
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What is Asteroid?
Who is it for?
Installation
CUDA and PyTorch
Pip
Development installation
Asteroid
What is a recipe?
How is it organized?
How does it work?
Datasets and tasks
Speech separation
wsj0-2mix dataset
WHAM dataset
WHAMR dataset
LibriMix dataset
Kinect-WSJ dataset
SMS_WSJ dataset
Speech enhancement
DNS Challenge’s dataset
Music source separation
MUSDB18 Dataset
Environmental sound separation
FUSS dataset
Audio-visual source separation
AVSpeech dataset
Speaker extraction
Training and Evaluation
Training with PyTorchLightning
Evaluation
Pretrained models
Using them
Model caching
Share your models
Note about licenses
FAQ
My results are worse than the ones reported in the README, why?
How long does it take to train a model?
Can I use the pretrained models for commercial purposes?
Notebooks and Tutorials
NB: Getting stated with Asteroid
NB: Understanding the Filterbank API
NB: Our PITLossWrapper explained
Community NB: Numpy vs. Asteroid STFT
Package reference
PyTorch Datasets
LibriMix
Wsj0mix
WHAM!
WHAMR!
SMS-WSJ
KinectWSJMix
DNSDataset
MUSDB18
FUSS
AVSpeech
Filterbank API
Filterbank, Encoder and Decoder
Learnable filterbanks
Free
Analytic Free
Parameterized Sinc
Fixed filterbanks
STFT
MP-GTFB
Transforms
Griffin-Lim and MISI
Complex transforms
DNN building blocks
Convolutional blocks
Recurrent blocks
Norms
Models
Base classes
Ready-to-use models
Publishing models
Losses & Metrics
Permutation invariant training (PIT) made easy
Available loss functions
MSE
SDR
PMSQE
STOI
MultiScale Spectral Loss
Deep clustering (Affinity) loss
Computing metrics
Lightning Wrapper
Optimizers & Schedulers
Optimizers
Schedulers
DSP Modules
Utils
Parser utils
Torch utils
Hub utils
Generic utils
CLI
Community
Asteroid High-Level Contribution Guide
The Asteroid Contribution Process
Getting Started
Proposing new features
Reporting Issues
Implementing Features or Fixing Bugs
Adding Tutorials
Improving Documentation & Tutorials
Participating in online discussions
Submitting pull requests to fix open issues
Reviewing open pull requests
Improving code readability
Adding test cases to make the codebase more robust
Promoting Asteroid
Triaging issues
About open source development
Common Mistakes To Avoid
Frequently asked questions
Attribution
How to contribute
Source code contributions
Writing new recipes.
Improving the docs.
Coding style
asteroid
Docs
»
asteroid.masknn._local module
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asteroid.masknn._local module
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v: v0.3.2
Versions
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v0.3.2
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