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Chris Cannam

dblp:62/4701 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

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 · 77% Visualization and visual analytics · 23%

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

TopicWeightPapersLastEvidence papers
Audio and music processing › music analysis
music signal analysis
0.112010
Sonic visualiser: an open source application for viewing, analysing, and annotating music audio files · ACM Multimedia 2010
Visualization and visual analytics › data visualization
audio visualization
0.012010
Sonic visualiser: an open source application for viewing, analysing, and annotating music audio files · ACM Multimedia 2010

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

plugin-based analysis · 0.1
YearPublicationVenuePosition
2012 Sound Software: Towards software reuse in audio and music research
abstract
Although researchers are increasingly aware of the need to publish and maintain software code alongside their results, practical barriers prevent this from happening in many cases. We examine these barriers, propose an incremental approach to overcoming some of them, and describe the Sound Software project, an effort to support software development practice in the UK audio and music research community. Finally we make some recommendations for research groups seeking to improve their own researchers' software practice.
Chris Cannam, Luís Figueira, Mark D. Plumbley
ICASSP1
2010 Sonic visualiser: an open source application for viewing, analysing, and annotating music audio files
abstract
Sonic Visualiser is a friendly and flexible end-user desktop application for analysis, visualisation, and annotation of music audio files. Its stated goal is to be "the first program you reach for when want to study a musical recording rather than simply listen to it". To this end, it has a user interface that resembles familiar audio editing applications, a set of useful standard visualisation facilities, and support for a plugin format for additional automated analysis methods.
Chris Cannam, Christian Landone, Mark B. Sandler
ACM Multimedia1