Template-based chord recognition: Influence of the chord types

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

Volumn , Issue , 2009, Pages 153-158

  Oudre, Laurent ^a   Grenier, Yves ^a   Févotte, Cédric ^a  

^a INSTITUT TELECOM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CHORD MODELS; CHORD RECOGNITION; POST PROCESSING; SIGNAL PROCESSING FIELDS; TEMPLATE-BASED;

SIGNAL PROCESSING;

INFORMATION RETRIEVAL;

EID: 84873639352     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. T. Fujishima. Realtime chord recognition of musical sound: a system using Common Lisp Music. In Pro- ceedings of the International Computer Music Confer- ence (ICMC), pages 464-467, Beijing, China, 1999.
2. A. Sheh and D.P.W. Ellis. Chord segmentation and recognition using EM-trained hidden Markov models. In Proceedings of the International Symposium on Music Information Retrieval (ISMIR), pages 185-191, Baltimore, MD, 2003.
3. C.A. Harte and M.B. Sandler. Automatic chord identification using a quantised chromagram. In Proceedings of the Audio Engineering Society, Barcelona, Spain, 2005.
4. J.P. Bello and J. Pickens. A robust mid-level representation for harmonic content in music signals. In Pro- ceedings of the International Symposium on Music In- formation Retrieval (ISMIR), pages 304-311, London, UK, 2005.
5. H. Papadopoulos and G. Peeters. Large-scale study of chord estimation algorithms based on chroma representation and HMM. In Proceedings of the Interna- tional Workshop on Content-Based Multimedia Index- ing, pages 53-60, Bordeaux, France, 2007.
6. M.P. Ryynänen and A.P. Klapuri. Automatic transcription of melody, bass line, and chords in polyphonic music. Computer Music Journal, 32(3):72-86, 2008.
7. M. Khadkevich and M. Omologo. Mirex audio chord detection. Abstract of the Music Information Retrieval Evaluation Exchange, 2008.
8. J. Pauwels, M. Varewyck, and J-P. Martens. Audio chord extraction using a probabilistic model. Abstract of the Music Information Retrieval Evaluation Exchange, 2008.
9. K. Lee andM. Slaney. Acoustic chord transcription and key extraction from audio using key-dependent HMMs trained on synthesized audio. IEEE Transactions on Audio, Speech and Language Processing, 16(2):291- 301, 2008.
10. E. Gómez. Tonal description of polyphonic audio for music content processing. In Proceedings of the IN- FORMS Computing Society Conference, volume 18, pages 294-304, Annapolis, MD, 2006.
11. F. Itakura and S. Saito. Analysis synthesis telephony based on the maximum likelihood method. In Proceed- ings of the International Congress on Acoustics, pages 17-20, Tokyo, Japan, 1968.
12. S. Kullback and R.A. Leibler. On information and sufficiency. Annals of Mathematical Statistics, 22(1):79- 86, 1951.
13. C. Harte, M. Sandler, S. Abdallah, and E. Gomez. Symbolic representation of musical chords: A proposed syntax for text annotations. In Proceedings of the International Symposium onMusic Information Re- trieval (ISMIR), pages 66-71, London, UK, 2005.