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» A music recommender based on audio features
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ICASSP
2010
IEEE
13 years 3 months ago
Background music identification through content filtering and min-hash matching
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...
Chih-Yi Chiu, Dimitrios Bountouridis, Ju-Chiang Wa...
ICASSP
2011
IEEE
13 years 8 days ago
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 YouT...
Vijay Chandrasekhar, Mehmet Emre Sargin, David A. ...
ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
14 years 2 months ago
Distributed Audio Feature Extraction for Music
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...
Stuart Bray, George Tzanetakis
MM
2005
ACM
135views Multimedia» more  MM 2005»
14 years 2 months ago
Emotion-based music recommendation by association discovery from film music
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...
Fang-Fei Kuo, Meng-Fen Chiang, Man-Kwan Shan, Suh-...
MM
2010
ACM
178views Multimedia» more  MM 2010»
13 years 8 months ago
Social audio features for advanced music retrieval interfaces
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...