Ben Fields

Contents 1 Contact Information 2 Universities 2.1 PhD 2.2 MSc 2.3 BS 3 Current Activities 3.1 Research Interests 3.2 Publications

Contact Information

email: me(at)benfields(dot)net
(mobile) phone: +44 (0) 79 6106 1568

office address:
Ben Fields
Department of Computing
Goldsmiths College
University of London
New Cross
London, SE14 6NW
United Kingdom

Universities

PhD

PhD Computing, April 2011
Goldsmiths College, University of London
Dissertation title: Contextualize Your Listening: The Playlist as Recommendation Engine

MSc

M.S. Music Engineering Technology, May 2006

University of Miami

Thesis: ON THE VIABILITY OF USING MIXED FEATURE EXTRACTION WITH MULTIPLE STATISTICAL MODELS TO CATEGORIZE MUSIC BY GENRE

available for download: pdf

BS

B.S. Computer Engineering, March 2004
University of California, Santa Cruz
Senior Design Project: Securio - The Autonomous Home Security Robot, Audio Video Specialist

Current Activities

I started my PhD research in music similarity and organization as part of OMRAS2 in January. I am currently working in the Goldsmiths Digital Studios research group, under the supervision of Dr. Micheal Casey.

Research Interests

• bridging the semantic gap between social networks and content based retrieval systems
• Music recommenders
• Metadata informed dynamics effects processing
• Human-like Playlist generation and playback (autoDJ)
• Song phrase segmentation
• Playlist (think DJ set, pod cast, etc.) segmentation

Publications

• B.Fields, “On the viability of using mixed feature extraction with multiple statistical models to achieve song categorization by genre,” Master’s thesis, University of Miami, Coral Gables, FL, May 2006.
• B.Fields, “Using mixed feature extraction with multiple statistical models to achieve song categorization by genre,” in Proc. Audio Engineering Society 122nd Int. Conv., (Vienna, Austria), Audio Engineering Society, May 2007.
• M. Mauch, S. Dixon, C. Harte, B. Fields, M. Casey, "Discovering Chord Idioms through Beatles and Real Book Songs," in Proc. Int. Symposium on Music Information Retrieval, Vienna, Austria, Sept. 2007.
• B. Fields, M. Casey, "Using Audio Classifiers as a Mechanism for Content Based Song Similarity," in Proc. Audio Engineering Society 123 Int. Conv., (New York, NY, USA), Audio Engineering Society, October 2007