DeepEcho
Synthetic Data Generation for mixed-type, multivariate time series. (by sdv-dev)
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)
| DeepEcho | FAST-RIR | |
|---|---|---|
| 1 | 1 | |
| 88 | 137 | |
| - | - | |
| 7.6 | 5.0 | |
| 4 days ago | 7 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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.
DeepEcho
Posts with mentions or reviews of DeepEcho.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
-
[ICASSP 2022] FAST-RIR: FAST NEURAL DIFFUSE ROOM IMPULSE RESPONSE GENERATOR
Code: https://github.com/anton-jeran/FAST-RIR
What are some alternatives?
When comparing DeepEcho and FAST-RIR you can also consider the following projects:
CTGAN - Conditional GAN for generating synthetic tabular data.
DoppelGANger - [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
SDGym - Benchmarking synthetic data generation methods.
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.