FAST-RIR VS CTGAN

Compare FAST-RIR vs CTGAN 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)
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FAST-RIR CTGAN
1 2
151 1,250
- 2.0%
5.0 8.3
3 months ago 19 days ago
Python Python
GNU Affero General Public License v3.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

CTGAN

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

What are some alternatives?

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

SDGym - Benchmarking synthetic data generation methods.

SDV - Synthetic data generation for tabular data

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

Copulas - A library to model multivariate data using copulas.

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.

Mimesis - Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.

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

gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.

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

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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