BBC Maida Vale Impulse Response Dataset
Dataset of spatial impulse responses measured from BBC Maida Vale Studios 4 and 5 for research into 3DOF and 6DOF Virtual Reality Rendering.
Test Database for the Assessment of Immersive Audio Systems
This repository contains a library of listening material, for the testing of immersive audio systems, that includes synthetic sound sources, speech recordings and short musical and instrumental performances.
SADIE is an EPSRC funded research programme for enhancing surround sound for interactive media systems in the home. This database contains HRTFs, BRIRs, Headphone IRs/EQs and anthropomorphic data for 20 subjects.
NEECK Validation: Acoustic Measurements and BEM Simulations
The supporting data for the paper entitled “Acoustic Validation of a BEM-Suitable 3D Mesh Model of KEMAR”, K. Young, G. Kearney, and A. I. Tew, at the 2018 AES International Conference on Spatial Reproduction – Aesthetics and Science, Tokyo.
EigenScape is a database of acoustic scenes recorded spatially using the mh Acoustics EigenMike.
EigenScape: Initial Dataset Tools and Analysis
The code used to manipulate the EigenScape dataset and perform initial analysis using Directional Audio Coding.
A New Method of Onset and Offset Detection in Ensemble Singing
The data set related to the paper “A New Method of Onset and Offset Detection in Ensemble Singing”, published in Logopedics Phoniatrics Vocology and available at: DOI: 10.1080/14015439.2018.1452977
Dataset for: Application of Machine Learning for the Spatial Analysis of Binaural Room Impulse Responses
Supplementary material for the paper titled `Application of Machine Learning for the Spatial
Analysis of Binaural Room Impulse Responses’ Available at: dx.doi.org/10.3390/app8010105
Author Gender Representation at Audio Engineering Conferences – An Anonymised Dataset
The author gender dataset (as a comma-delimited .csv file) associated with the paper entitled ‘The Impact of Gender on Conference Authorship in Audio Engineering: Analysis Using a New Data Collection Method’. Available at: dx.doi.org/10.1109/TE.2018.2814613.