MUSICAL GENRE CLASSIFICATION BY INSTRUMENTAL FEATURES

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 2004, Pages

  Zhu, Jiajun ^a   Xue, Xiangyang ^a   Lu, Hong ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY; LEVEL CHARACTERISTIC; MEL FREQUENCY CEPSTRAL CO-EFFICIENT; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; MUSICAL GENRE; MUSICAL GENRE CLASSIFICATION; PERFORMANCE;

MUSIC;

EID: 85044043652     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Dannenberg, R.B. Thom B. and Watson D (1997). “A Machine Learning Approach to Musical Style Recognition”. In Proceedings of the International Computer Music Conference.
2. Chai W. and Vercoe B (2001). “Folk Music Classification Using Hidden Markov Models”. In Proceedings of International Conference on Artificial Intelligence.
3. Matityaho B. and Furst. M.(1995). “Neural Network Based Model for Classification of Music Type”, In Proceedings. of Convention of the Electrical and Electronic Engineers, pp. 4.3.4/1-5, Israel.
4. Soltau.H., Schultz. T., Martin Westphal, and Alex Waibel (1998). “Recognition of Music Types”. International Conference on Acoustics, Speech, and Signal Processing, Vol. II, pp. 1137-1140.
5. Pye. D. (2000). “Content-Based Methods for the Management of Digital Music” International Conference on Acoustics, Speech, and Signal Processing, Vol. IV, pp.2437-2440
6. Dan-Ning Jiang, Lie Lu, Hong-Jiang Zhang, Lian-Hong Cai, Jian-Hua Tao, (2002)."Music Type Classification By Spectral Contrast Features:" In Proceedings. of IEEE International Conference on Multimedia and Expo, Lausanne Switzerland
7. Sieger N.J., Tewfik A.H, (1997) “Audio coding for conversion to MIDI.” IEEE First Workshop on Multimedia Signal Processing, pp. 101-106.