A hidden Markov model based approach to music segmentation and identification

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Volumn 3, Issue , 2003, Pages 1576-1580

  Gao, Sheng ^a   Maddage, Namunu Chinthaka ^a   Lee, Chin Hui ^b,c  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MARKOV PROCESSES; MULTIMEDIA SIGNAL PROCESSING; PROBLEM SOLVING; SIGNAL ANALYSIS; SPEECH RECOGNITION;

AUTOMATIC SPEECH RECOGNITION; CEPSTRAL COEFFICIENTS; DOCUMENT INDEXING AND RETRIEVAL; INSTRUMENT IDENTIFICATION; LINEAR PREDICTION; MEL FREQUENCY CEPSTRAL CO-EFFICIENT; MODELING TECHNIQUE; MUSIC SEGMENTATIONS;

SIGNAL PROCESSING;

EID: 84886715771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2003.1292732     Document Type: Conference Paper

References (8)

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8. Y. E. Kim, 'Structured Encoding of the Singing Voice Using Prior Knowledge of the Musical Score", Proc. of IEEE Workshop on Application of Signal Processing to Audio and Acoustics, 1999.