A novel framework for background music identification is proposed in this paper. Given a piece of audio signals that mixes background music with speech/noise, we identify the musi...
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 YouT...
Vijay Chandrasekhar, Mehmet Emre Sargin, David A. ...
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
With the growth of digital music, the development of music recommendation is helpful for users. The existing recommendation approaches are based on the users’ preference on musi...
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
Michael Kuhn 0002, Roger Wattenhofer, Samuel Welte...