TasNet | PyTorch implementation of Time-domain Audio Separation | Speech library

by kaituoxu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | TasNet Summary

TasNet is a Python library typically used in Artificial Intelligence, Speech, Pytorch applications. TasNet has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A PyTorch implementation of "TasNet: Time-domain Audio Separation Network for Real-time, single-channel speech separation", published in ICASSP2018, by Yi Luo and Nima Mesgarani.

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TasNet has a low active ecosystem.

It has 62 star(s) with 20 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 35 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TasNet is current.

Quality

TasNet has 0 bugs and 0 code smells.

Security

TasNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TasNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TasNet does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

TasNet releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed TasNet and discovered the below as its top functions. This is intended to give you an instant insight into TasNet implemented functionality, and help decide if they suit your requirements.

Train the model
Runs the loss function for a given epoch
Calculate the loss for a source
Calculate the SI - SNR for a source
Evaluate the model
Calculate the SISNR index
Calculate the SISNR
Calculate the average SDRi
Helper function for collate_fn
Loads the mixture of mixture and sources
Pad a list
Wrapper for collate_fn_eval
Loads mixing samples from a given batch
Preprocess audio files
Preprocess a single directory
Compute the mixture of mixture models
Calculate the loss of a source

Get all kandi verified functions for this library.

TasNet Key Features

No Key Features are available at this moment for TasNet.

TasNet Examples and Code Snippets

No Code Snippets are available at this moment for TasNet.

Community Discussions

Trending Discussions on TasNet

Use of tf.GradientTape() exhausts all the gpu memory, without it it doesn't matter

QUESTION

Use of tf.GradientTape() exhausts all the gpu memory, without it it doesn't matter

Asked 2022-Jan-07 at 11:47

I'm working on Convolution Tasnet, model size I made is about 5.05 million variables.

I want to train this using custom training loops, and the problem is,

...

ANSWER

Answered 2022-Jan-07 at 11:08

Gradient tape triggers automatic differentiation which requires tracking gradients on all your weights and activations. Autodiff requires multiple more memory. This is normal. You'll have to manually tune your batch size until you find one that works, then tune your LR. Usually, the tune just means guess & check or grid search. (I am working on a product to do all of that for you but I'm not here to plug it).

Source https://stackoverflow.com/questions/70615673

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install TasNet

PyTorch 0.4.1+
Python3 (Recommend Anaconda)
pip install -r requirements.txt
If you need to convert wjs0 to wav format and generate mixture files, cd tools; make

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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