MESH2IR
This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh. (by anton-jeran)
pyroomacoustics
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios. (by LCAV)
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| MESH2IR | pyroomacoustics | |
|---|---|---|
| 1 | 2 | |
| 66 | 1,314 | |
| - | 2.2% | |
| 5.7 | 3.5 | |
| 4 months ago | 7 days ago | |
| Python | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MESH2IR
Posts with mentions or reviews of MESH2IR.
We have used some of these posts to build our list of alternatives
and similar projects.
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[P] MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes (Accepted to ACM Multimedia 2022)
Code: https://github.com/anton-jeran/MESH2IR
pyroomacoustics
Posts with mentions or reviews of pyroomacoustics.
We have used some of these posts to build our list of alternatives
and similar projects.
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How would you classify impulse response and convolution?
1) For the legal aspects, you could find some dataset with open licenses. Or, you could simulate the room impulse responses with a simulation tool like pyroomacoustics (disclaimer: I am the main developer).
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physically modeling reverb
I am developing such a simulation tool in python called pyroomacoustics. It is similar to wayverb linked in a different comment, but can be operated in python and is probably easier to get started with. https://github.com/LCAV/pyroomacoustics
What are some alternatives?
When comparing MESH2IR and pyroomacoustics you can also consider the following projects:
pydub - Manipulate audio with a simple and easy high level interface
beets - music library manager and MusicBrainz tagger
FAST-RIR - This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.