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» Extracting Emotions from Music Data
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ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
14 years 3 months ago
Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
Jeremy Pickens, Costas S. Iliopoulos
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
14 years 3 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya
ISMIR
2005
Springer
175views Music» more  ISMIR 2005»
14 years 3 months ago
A Classification Approach to Melody Transcription
Melodies provide an important conceptual summarization of polyphonic audio. The extraction of melodic content has practical applications ranging from content-based audio retrieval...
Graham E. Poliner, Daniel P. W. Ellis
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
14 years 3 months ago
Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification
We present a study on the importance of psycho-acoustic transformations for effective audio feature calculation. From the results, both crucial and problematic parts of the algori...
Thomas Lidy, Andreas Rauber
ISMIR
2005
Springer
195views Music» more  ISMIR 2005»
14 years 3 months ago
Factors Affecting Automatic Genre Classification: An Investigation Incorporating Non-Western Musical Forms
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perfor...
Noris Mohd. Norowi, Shyamala Doraisamy, Rahmita Wi...