FAST-RIR VS pyroomacoustics

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

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)

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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FAST-RIR pyroomacoustics
1 2
151 1,428
- 1.9%
5.0 7.8
2 months ago 19 days ago
Python Python
GNU Affero General Public License v3.0 MIT License
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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.

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

What are some alternatives?

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

CTGAN - Conditional GAN for generating synthetic tabular data.

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

SDGym - Benchmarking synthetic data generation methods.

room-impulse-responses - A list of publicly available room impulse response datasets and scripts to download them.

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.

beets - music library manager and MusicBrainz tagger

SpeechRecognition - Speech recognition module for Python, supporting several engines and APIs, online and offline.

DeepEcho - Synthetic Data Generation for mixed-type, multivariate time series.

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.

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