ITEE seminar: Beth Logan, 11.00AM, Wed 28 Jan 2004

(to be announced)

Speaker: Beth Logan, Hewlett-Packard, Cambridge Research Lab, Cambridge, Ma

When: 11.00AM, Wednesday 28 Jan 2004

Venue: 78-420

Host: Vaughan Clarkson

Abstract:

 The quantity of music available ubiquitously is growing rapidly.
 There is thus a need for analysis techniques to automatically
 organize vast audio repositories.  In this talk, we describe several
 of our efforts in this direction: automatic music summarization and
 automatically determining music similarity. Our approaches bring
 together knowledge from the signal processing, machine learning and
 information retrieval fields.

 Both of our techniques extract spectral features from each song and
 learn statistical models of these.  Our music summarization technique
 then automatically chooses a representative phrase for each song
 using the segmentation provided by its model. Our music similarity
 technique compares the models for each pair of songs using the Earth
 Mover's Distance (Rubner1998) to form a distance matrix. Both
 approaches show great promise, evidenced by objective and subjective
 results and demonstrations.

Biography:

 
 Beth Logan received the BSc. and B.E. degrees from the University of
 Queensland, Australia, in 1990 and 1991 respectively. She received
 the PhD in engineering from the University of Cambridge, United
 Kingdom, in 1998, completing a dissertation on speech
 enhancement. Since 1998, she has been a research scientist at HP Labs
 (formerly Digital) in Cambridge Massachusetts.  Her work here has
 focused on scalable organization of digital content, primarily
 looking at indexing and modeling of speech and music.

Contact:

Vaughan Clarkson, seminar host (v.clarkson@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator) (guido@itee.uq.edu.au)

ITEE seminar web page: http://www.itee.uq.edu.au/~seminar

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