Navigating Descriptive Sub-Representations of Musical Timbre

Stasis, Spyridon and Hockman, Jason and Stables, Ryan (2017) Navigating Descriptive Sub-Representations of Musical Timbre. In: New Interfaces on Musical Expression (NIME 2017), 2017, Copenhagen, Denmark.

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Abstract

Musicians, audio engineers and producers often make use of common timbral adjectives to describe musical signals and transformations. However, the subjective nature of these terms, and the variability with respect to musical context often leads to inconsistencies in their definition. In this study, a model is proposed for controlling an equaliser by navigating clusters of datapoints, which represent grouped parameter settings with the same timbral description. The associated interface allows users to identify the nearest cluster to their current parameter setting and recommends changes based on its relationship to a cluster centroid. To do this, we apply dimensionality reduction to a dataset of equaliser curves described as warm and bright using a stacked autoencoder, then group the entries using an agglomerative clustering algorithm with a coherence-based distance criterion. To test the efficacy of the system, we implement listening tests and show that subjects are able to match datapoints to their respective sub-representations with 93.75% mean accuracy.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: Oana-Andreea Dumitrascu
Date Deposited: 08 Aug 2017 09:56
Last Modified: 08 Aug 2017 14:53
URI: http://www.open-access.bcu.ac.uk/id/eprint/4970

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