Automatic generation of musical instrument detector by using evolutionary learning method

Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009

Volumn , Issue , 2009, Pages 93-98

  Kobayashi, Yoshiyuki ^a  

^a SONY CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC GENERATION; EVOLUTIONARY LEARNING; FEATURE SETS; HIGH-LEVEL INFORMATION; LABELED DATASET; LARGE AMOUNTS; REGRESSION FORMULAS; WAVE FORMS;

DETECTORS; INFORMATION RETRIEVAL; LEARNING SYSTEMS;

MUSICAL INSTRUMENTS;

EID: 84868666230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. Soo-Chang Pei, Nien-Teh Hsu. Instrumentation analysis and identification of polyphonic music using beat-synchronous feature integration and fuzzy clustering. Pages 169 - 172, ICASSP 2009.
4. T.Kitahara, et al. Instrument Identification in Polyphonic Music: Feature Weighting to Minimize Influence of Sound Overlaps. EURASIP Journal on Advances in Signal Processing, Volume 2007.
5. Pachet, F. and Roy, P. Analytical Features: A Knowledge-Based Approach to Audio Feature Generation. Eurasip Journal on Audio Speech and Music Processing, February 2009.
6. H. Akaike. Information theory and an extension of the maximum likelihood principle. 2nd International Symposium on Information Theory, pages 267-281, 1973.
7. Dae-young Jang, et al. Center channel separation based on spatial analysis. 11th International Conference on Digital Audio Effects, 2008.