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MESSAGE FOLLOWS:
Hello,
Since we have some problems with door access, in all likelihood the seminar will be moved to take place at the top floor of the Informatics Teaching Lab (ITL) building.
From the main glass doors entrance to engineering you would,
walk twenty yards west to Bancroft road, turn right.
Take first left through the gates into the open square. The student shop and Drapers are on your right. The ITL building is directly opposite you.
http://www.eecs.qmul.ac.uk/about/campus-map.php
Any problems please contact me on
07540 530 542
Thanks,
Andrew
________________________________________
From: Emmanouil Benetos [[log in to unmask]]
Sent: Sunday, June 27, 2010 12:31 PM
To: [log in to unmask]
Subject: Reminder - C4DM Seminar tomorrow, 3pm: 'An Industrial Strength Audio Search Algorithm' by Avery Wang
Dear all,
A reminder that tomorrow at 3pm, Dr Avery Wang will present the seminar 'An Industrial Strength Audio Search Algorithm'.
The seminar will take place in room 105 in the Electronic Engineering Department, Queen Mary University of London, Mile End Road, London E1 4NS. Directions of how to get to Queen Mary are available at http://www.elec.qmul.ac.uk/newsevents/c4dm-seminars.php as are details of future seminars. 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.
All are welcome to attend. For those unable to do so, a video recording of the seminar will be streamed live and also made available online after a few days. Please see the above website for details.
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 (28 June, 3pm):
Title:
An Industrial Strength Audio Search Algorithm
Speaker:
Dr Avery Wang
Shazam Entertainment
Abstract:
This is a reprise of the talk I gave at ISMIR 2003 on some of the key insights behind the Shazam service. The audio search algorithm is noise and distortion resistant, computationally efficient, and massively scalable, capable of quickly identifying a short segment of music captured through a mobile phone microphone in the presence of foreground voices and other dominant noise, and through voice codec compression, out of a database of several million tracks. The algorithm uses a combinatorially hashed time-frequency constellation analysis of the audio, yielding unusual properties such as transparency, in which multiple tracks mixed together may each be identified. Furthermore, for applications such as radio monitoring, search times on the order of a few milliseconds per query are attained, even on a massive music database.
Bio:
Avery Wang has degrees in Mathematics and Electrical Engineering from Stanford University, specializing in digital signal processing algorithms. He wrote his dissertation on the auditory source separation problem at CCRMA under Julius Smith. He also spent two years at the Ruhr-Universität Bochum with Christof von der Malsburg at the Institut für Neuroinformatik on a Fulbright scholarship. He co-founded Shazam Entertainment in year 2000 and is the principal creator of the audio search technology.
Emmanouil Benetos
--
Centre for Digital Music (C4DM)
Electronic Engineering Department
Queen Mary, University of London
[log in to unmask]<mailto:[log in to unmask]>
Tel: +44 (0)20 7882 7480
Fax: +44 (0)20 7882 7997
C4DM Web-site : http://www.elec.qmul.ac.uk/digitalmusic/index.html
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