Multi-timbre chord classification using wavelet transform and self-organized map neural networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2001, Pages 3377-3380

  Su, B ^a   Jeng, S K ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUDITION; COMPUTER SIMULATION; FOURIER TRANSFORMS; LEARNING SYSTEMS; PATTERN RECOGNITION; SELF ORGANIZING MAPS; WAVELET TRANSFORMS;

MULTI TIMBRE CHORD CLASSIFICATION; MUSIC THEORY; MUSICAL CHORD RECOGNITION; POLYPHONIC ANALYSIS;

MUSICAL INSTRUMENTS;

EID: 0034842491     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. A blackboard system for automatic transcription of simple polyphonic music
2. A music scene analysis system with the MRF-based information integration scheme
3. Sentiment extraction in music
4. Fast nearly ML estimation of the parameters of real or complex single tones or resolved multiple tones
5. Polyphonic pitch tracking using joint Bayesian estimation of multiple frame parameters
6. Paganini-a music analysis and recognition program
7. Time-frequency analysis of musical signals