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Alan Nesbitt

dblp:207/9882 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0003-3518-7656ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 87% Multimedia systems and quality of experience · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › sound synthesis
granular synthesis
0.011999
Preservation of local sound periodicity with variable-rate video · ACM Multimedia (1) 1999
Audio and music processing › audio editing
time-scale modification
0.011999
Preservation of local sound periodicity with variable-rate video · ACM Multimedia (1) 1999

Methods — techniques the papers use, named apart from their topics

granulation · 0.0
YearPublicationVenuePosition
2021 An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods
Imene Mitiche, Mark David Jenkins, Philip Boreham, Alan Nesbitt, Gordon Morison
Expert Syst. Appl.4
1999 Preservation of local sound periodicity with variable-rate video
abstract
A method of allowing pitch preservation of sound with variable-rate video playback is suggested. This is an important factor in monitoring of audio content for cueing purposes. Methods of separately considering a signal's frequency and time representations are considered with a view to performing time-scale modification with preservation of local periodicity (pitch). Particular emphasis is placed upon granulation in time of a sampled source — a technique based upon Dennis Gabor's landmark papers in 1946 and 1947 and developed in the field of computer music. This relatively simple method requires no prior signal analysis and is therefore a less computationally expensive method of achieving the goals stated above. This is an important point considering the need for real-time implementation. The process does however introduce some distortion, and investigation into how this may be minimised is necessary to produce acceptable results.
Don Knox, Takebumi Itagaki, I. Stewart, Alan Nesbitt, I. J. Kemp
ACM Multimedia (1)4