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MESSAGE FOLLOWS:
Dear all,
A reminder that tomorrow at 3pm, Dr Hiromasa Fujihara will present
the seminar 'Computational Recognition of Singing Voices in
Polyphonic Music based on Statistical Approach'.
The seminar will take place in room 105 in the Electronic
Engineering building, Queen Mary University of London, Mile End
Road, London E1 4NS. Directions of how to get to Queen Mary and
details of future seminars can be found at
http://www.eecs.qmul.ac.uk/newsevents/researchgroupevents.php?i=12.
The room is under access control, so people from outside QM will
need to contact C4DM to get in - the lab phone number is +44 (0)20
7882 7480 and if I'm not available, anyone else in the lab should
be able to help. If you are coming from outside Queen Mary, please
let me know, so I can make sure no-one's stuck outside the doors.
If you wish to be added to / removed from our mailing list, please
send me an email and I'll be happy to do so.
Tomorrow's seminar (22 February, 3pm):
Title:
Computational Recognition of Singing Voices in Polyphonic
Music based on Statistical Approach
Speaker:
Hiromasa Fujihara (National Institute of Advanced Industrial
Science and Technology, Japan)
Abstract:
When humans listen to singing voices, they distinguish these
voices from sound mixtures that include not only singing voices
but also the sounds of other instruments and environmental noise.
However, compared to this innate ability of humans to recognize
the real world auditory scene, the ability of current computer to
do so is still inadequate. In this talk, we will describe our
efforts to tackle the problem of computational recognition of
singing voices in polyphonic music. In particular, considering
that vocal timbre, melody, and lyrics as the essential elements of
singing voices, we will address the following four tasks that
correspond to the above elements: 1) singer identification and its
application to vocal-timbre-similarity-based MIR, 2) F0 estimation
of vocal part in polyphonic music, 3) automatic synchronization
between music and lyrics, and 4) concurrent estimation of F0 and
phoneme of singing voices.
Bio:
Dr Hiromasa Fujihara is a Research Scientist of the National
Institute of Advanced Industrial Science and Technology (AIST),
Tsukuba, Japan. He joined AIST in 2007 after graduating the master
course of Kyoto University, Kyoto, Japan. He received his PhD
degree in Informatics from Kyoto University in 2010. His research
interests include singing information processing and music
information retrieval.
Emmanouil Benetos
--
Centre for Digital Music (C4DM)
School of Electronic Engineering and Computer Science
Queen Mary, University of London
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Tel: +44 (0)20 7882 7480
Fax: +44 (0)20 7882 7997
C4DM Web-site : http://www.elec.qmul.ac.uk/digitalmusic/index.html