pyroomacoustics VS FAST-RIR

Compare pyroomacoustics vs FAST-RIR and see what are their differences.

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)
acoustics room-impulse-response image-source-model beamforming doa adaptive-filtering stft Audio
Source Code
pyroomacoustics.readthedocs.io
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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. (by anton-jeran)
room-impulse-response automatic-speech-recognition acoustics conditional-generation generative-adversarial-network Speech Augmentation synthetic-data rir neural-network diffuse-scattering Deep Learning impulse-response implicit-neural-representation
Source Code
anton-jeran.github.io
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pyroomacoustics FAST-RIR
2 1
1,325 137
1.3% -
3.5 5.0
6 days ago 6 months ago
Python Python
MIT License GNU Affero General Public License v3.0
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pyroomacoustics

Posts with mentions or reviews of pyroomacoustics. We have used some of these posts to build our list of alternatives and similar projects.
  • How would you classify impulse response and convolution?
    1 project | /r/DSP | 29 Jun 2023
    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).
  • physically modeling reverb
    1 project | /r/DSP | 15 Sep 2022
    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

FAST-RIR

Posts with mentions or reviews of FAST-RIR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pyroomacoustics and FAST-RIR you can also consider the following projects:

pydub - Manipulate audio with a simple and easy high level interface

CTGAN - Conditional GAN for generating synthetic tabular data.

beets - music library manager and MusicBrainz tagger

DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

SDGym - Benchmarking synthetic data generation methods.

pyroomacoustics vs pydub FAST-RIR vs CTGAN pyroomacoustics vs beets FAST-RIR vs DoppelGANger pyroomacoustics vs ultimatevocalremovergui FAST-RIR vs caer FAST-RIR vs SDGym