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» Extracting Emotions from Music Data
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AIRS
2005
Springer
14 years 4 months ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...
TASLP
2010
105views more  TASLP 2010»
13 years 5 months ago
Non-Negative Tensor Factorization Applied to Music Genre Classification
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Emmanouil Benetos, Constantine Kotropoulos
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
14 years 4 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
FLAIRS
2006
14 years 8 days ago
Melody Track Identification in Music Symbolic Files
Standard MIDI files contain data that can be considered as a symbolic representation of music (a digital score), and most of them are structured as a number of tracks, one of them...
David Rizo, Pedro J. Ponce de León, Antonio...
ICASSP
2011
IEEE
13 years 2 months ago
Polyphonic music transcription using note onset and offset detection
In this paper, an approach for polyphonic music transcription based on joint multiple-F0 estimation and note onset/offset detection is proposed. For preprocessing, the resonator t...
Emmanouil Benetos, Simon Dixon