Mark D Plumbley

Biographic Data

ID984382
NAMEMark D Plumbley
GIVEN NAMESMark D
FAMILY NAMEPlumbley
SIGNATUREPLUMBLEY M D
AFFILIATIONSQueen Mary University of London
ORCID0000-0002-9708-1075
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2015
H-INDEX0

  • Event-based Multitrack Alignment using a Probabilistic Framework

    Andrew Robertson, Mark D PlumbleyARTICLEJournal of New Music Research2015

    This paper presents a Bayesian probabilistic framework for real-time alignment of a recording or score with a live performance using an event-based approach. Multitrack audio files are processed using existing onset detection and harmonic analysis algorithms to create a representation of a musical performance as a sequence of time-stamped events. We propose the use of distributions for the position and relative speed which are sequentially update…

  • The Serendiptichord

    Tim Murray-Browne, Di Mainstone et al.ARTICLELeonardo2013References: 2

    The Serendiptichord is a wearable instrument, resulting from a collaboration crossing fashion, technology, music and dance. This paper reflects on the collaborative process and how defining both creative and research roles for each party led to a successful creative partnership built on mutual respect and open communication. After a brief snapshot of the instrument in performance, the instrument is considered within the context of dance-driven in…

  • Learning Timbre Analogies from Unlabelled Data by Multivariate Tree Regression

    Donald Stowell, Dan Stowell et al.ARTICLEJournal of New Music Research2011

    Applications such as concatenative synthesis (audio mosaicing) and query-by-example require the ability to search a database using a sound which is qualitatively different from the actual desired result—for example when using vocal queries to retrieve nonvocal sound. Standard query techniques such as nearest neighbours do not account for this difference between source and target; they perform retrieval but do not learn to make timbral analogies. …

  • Delayed Decision-making in Real-time Beatbox Percussion Classification

    Donald Stowell, Dan Stowell et al.ARTICLEJournal of New Music Research2010References: 10

    Real-time classification applied to a vocal percussion signal holds potential as an interface for live musical control. In this article we propose a novel approach to resolving the tension between the needs for low-latency reaction and reliable classification, by deferring the final classification decision until after a response has been initiated. We introduce a new dataset of annotated human beatbox recordings, and use it to study the optimal d…