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Timbral Characterisation Tool v0.1 Development Dataset
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project: Audio Commons

start date: 1-Feb-2016
end date: 31-Jan-2019

funded by: the European Union's Horizon 2020 research and innovation programme
grant agreement no.: 688382

Dr Andy Pearce: Research Fellow
Mr Christopher Martin: Undergraduate Tonmeister Technical Project Student
Dr Tim Brookes: Research Supervisor
Dr Russell Mason: Research Supervisor

Institute of Sound Recording, University of Surrey, Guildford, UK. https://iosr.uk

This dataset contains data relating to the published report on AudioCommons Deliverable D5.2 "First prototype of timbral characterisation tools for semantically annotating non-musical content".  The data contained were used to generate the linear regression models of hardness and depth perception, as well as the logistic regression model of metallic-nature.  Data consist of listening test interfaces, stimuli used in listening tests, the results of these tests, and documentation.

The dataset is initially published under a Creative Commons Attribution-NonCommercial licence at doi.org/10.5281/zenodo.2545488 where you will find full licence and attribution information and an up-to-date list of related publications.


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contents
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Documentation
 - AudioCommons report D5.2

Hardness and Depth
 - listening test interfaces, stimuli, and results for developing timbral models of the hardness and depth attributes.

Metallic
 - listening test interfaces, stimuli, and results for developing the metallic-nature timbral model.


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(dataset last updated 23 November 2018)