Published Resources

Please see the our Spatial Audio Library (launched January 2024) for more information on specific immersive audio materials that have been produced at the AudioLab.


Database of Immersive Audiovisual Materials

Dataset of immersive audiovisual materials developed for the Alliance for Open Media’s (AOMedia) new Immersive Audio Model and Formats (IAMF).


SAFFIRE Project: York-Huddersfield Networked Music Performance

This dataset contains audio and video materials, as well as Quality of Experiance data recorded during a networked music performance which took place on 22.08.2023 between the Univesity of York and University of Huddersfield.


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.

For the current version of the database (V2-1) please follow this link:

For more information on the database, please follow this link. This contains an outdated version of the database (V1-4) and is due to be migrated over to our current website: 


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:


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: