FAST-RIR VS DoppelGANger

Compare FAST-RIR vs DoppelGANger 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 DoppelGANger
1 14
137 275
- -
5.0 3.8
6 months ago 6 months ago
Python Python
GNU Affero General Public License v3.0 BSD 3-clause Clear 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.

DoppelGANger

Posts with mentions or reviews of DoppelGANger. 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 DoppelGANger you can also consider the following projects:

CTGAN - Conditional GAN for generating synthetic tabular data.

CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

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

tdk-demo - This is a collection of TDK demo projects that use different databases and options

SDGym - Benchmarking synthetic data generation methods.

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

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.

ydata-synthetic - Synthetic data generators for tabular and time-series data