Comments (3)
All of the virtual rooms were created for this project. They were created by combining a variety of existing binaural measurements in the time domain. The direct sounds were sourced from HRIR measurements of dummy heads or head and torso simulators such as the Neumann KU100 Dummy Head from the SADIE project. The early and late reflections were created by combining reverberation data from selections of binaural rooms measurements containing similar acoustic characteristics.
The resulting 'virtual' rooms are more generic than the measured real rooms but can be customised in terms of the HRTF applied to the direct sound and reverberation quantity. It may also be worth exploring more complex binaural room simulation methods in future to achieve more defined acoustic characteristics and higher quality results.
R32 (ASH Listening Room) was created as an alternative to R04 (Listening Room, University of Salford). The intention was to achieve similar acoustics to R04 and include a range of source angles on both the median plane and the horizontal planes, as the existing rooms were limited to directions on the horizontal plane.
from ash-listening-set.
Thanks Shanon for releasing the ASH listening set. Some questions:
- I would like to make my own 7.1.4 IR. Which of the original datasets have elevation samples?
- Since this set is under a CC BY NC SA licence, does that mean if I release music processed with these IRs, I must include a Creative Commons notice AND the music must be non commercial?
from ash-listening-set.
- I would like to make my own 7.1.4 IR. Which of the original datasets have elevation samples?
I can't recall any elevation samples being available in any of the original datasets when I was preparing the BRIRs. I did find that the following BRIR dataset bbcrd-brirs contains elevation samples however I haven't integrated this one into my dataset.
- Since this set is under a CC BY NC SA licence, does that mean if I release music processed with these IRs, I must include a Creative Commons notice AND the music must be non commercial?
I don't have any issue with using any of the data provided in the ASH Listening Set dataset to produce music for commercial purposes.
from ash-listening-set.
Related Issues (9)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ash-listening-set.