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Automatic Language Identification in music videos with low level audio and visual features

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3 Author(s)
Chandrasekhar, V. ; Google, Inc., Mountain View, CA, USA ; Sargin, M.E. ; Ross, D.A.

Automatic Language Identification (LID) in music has received significantly less attention than LID in speech. Here, we study the problem of LID in music videos uploaded on YouTube. We use a "bag-of-words" approach based on state-of-the-art content based audio-visual features and linear S VM classifiers for automatic LID. Our system obtains 48% accuracy for a corpus of 25000 music videos and 25 different languages.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Date of Conference:

22-27 May 2011