avlit | Official source code of the INTERSPEECH 2023 paper
kandi X-RAY | avlit Summary
kandi X-RAY | avlit Summary
avlit is a Python library. avlit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However avlit build file is not available. You can download it from GitHub.
Official Pytorch Lightning implementation of "Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model", accepted at INTERSPEECH 2023. Audio-Visual Lightweight ITerative model (AVLIT) uses the A-FRCNN as building block. AVLIT employs a homogeneous design with audio and video branches composed of A-FRCNN blocks used iteratively. The weights are shared for each modality, making the number of parameters constant. Please refer to the paper for details.
Official Pytorch Lightning implementation of "Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model", accepted at INTERSPEECH 2023. Audio-Visual Lightweight ITerative model (AVLIT) uses the A-FRCNN as building block. AVLIT employs a homogeneous design with audio and video branches composed of A-FRCNN blocks used iteratively. The weights are shared for each modality, making the number of parameters constant. Please refer to the paper for details.
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Support
avlit has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
avlit has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of avlit is current.
Quality
avlit has no bugs reported.
Security
avlit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
avlit is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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avlit releases are not available. You will need to build from source code and install.
avlit has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of avlit
avlit Key Features
No Key Features are available at this moment for avlit.
avlit Examples and Code Snippets
No Code Snippets are available at this moment for avlit.
Community Discussions
No Community Discussions are available at this moment for avlit.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install avlit
Make sure to have pytorch with GPU support installed on your machine according to the official installation guide.
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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