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

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 stateof-the-art content based audio-visual features and linear SVM classifiers for automatic LID. Our system obtains 48% accuracy for a corpus of 25000 music videos and 25 different languages.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross
• Keywords: Automatic Language Identification, ICASSP 2011, Linear Svm Classifiers, Music Videos, Signal Processing