Automatic transcription of piano music based on HMM tracking of jointly-estimated pitches

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Emiya, Valentin ^a   Badeau, Roland ^a   David, Bertrand ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TRANSCRIPTION; COMPLEXITY ISSUES; JOINT ESTIMATION; LARGE DATABASE; MARKOV MODEL; MAXIMUM LIKELIHOOD METHODS; ONSET DETECTION; PIANO MUSIC; PITCH ESTIMATION; STATE-OF-THE-ART METHODS;

HIDDEN MARKOV MODELS; SIGNAL PROCESSING;

TRANSCRIPTION;

EID: 84863743756     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. J.P. Bello, L. Daudet, and M.B. Sandler, "Automatic piano transcription using frequency and time-domain information," IEEE Trans. Audio, Speech and Language Processing, vol. 14, no. 6, pp. 2242 - 2251, Nov. 2006.
2. M. Davy, S. Godsill, and J. Idier, "Bayesian analysis of polyphonic western tonal music," J. Acous. Soc. Amer., vol. 119, no. 4, pp. 2498-2517, 2006.
3. H. Kameoka, T. Nishimoto, and S. Sagayama, "A Multipitch Analyzer Based on Harmonic Temporal Structured Clustering," IEEE Trans. Audio, Speech and Language Processing, vol. 15, no. 3, pp. 982-994, 2007.
4. M. Marolt, "A connectionist approach to automatic transcription of polyphonic piano music," IEEE Trans. on Multimedia, vol. 6, no. 3, pp. 439-449, 2004.
5. N. Bertin, R. Badeau, and G. Richard, "Blind signal decompositions for automatic transcription of polyphonic music: NMF and K-SVD on the benchmark," in Proc. of ICASSP 2007, Honolulu, Hawaii, USA, Apr.15-20 2007, vol. I, pp. 65-68.
6. E. Vincent, N. Bertin, and R. Badeau, "Harmonic and inharmonic nonnegative matrix factorization for polyphonic pitch transcription," in Proc. Int. Conf. Audio Speech and Sig. Proces. (ICASSP), Las Vegas, Nevada, USA, Mar. 30 - Apr. 4 2008.
7. G. Poliner and D. Ellis, "A discriminative model for polyphonic piano transcription," EURASIP Journal on Advances in Signal Processing, vol. 8, pp. 1-9, 2007.
8. M. Ryynänen and A.P. Klapuri, "Polyphonic music transcription using note event modeling," in Proc. IEEE Work. Appli. Sig. Proces. Audio and Acous. (WAS-PAA), New Paltz, NY, USA, Oct. 2005, pp. 319-322.
9. V. Emiya, R. Badeau, and B. David, "Multipitch estimation of inharmonic sounds in colored noise," in Proc. Int. Conf. Digital Audio Effects (DAFx), Bordeaux, France, Sept.10-15 2007, pp. 93-98.
10. C. Raphael, "Automatic transcription of piano music," in Proc. Int. Conf. Music Information Retrieval (ISMIR), Paris, France, 2002.
11. M. Alonso, G. Richard, and B. David, "Extracting note onsets from musical recordings," in Proc. of the ICME, Amsterdam, The Netherlands, July6-8 2005, pp. 1-4.
12. N. H. Fletcher and T. D. Rossing, The Physics of Musical Instruments, Springer, 1998.
13. M. R. Schroeder, "Period histogram and product spectrum: New methods for fundamental-frequency measurement," J. Acous. Soc. Amer., vol. 43, no. 4, pp. 829-834, 1968.
14. L.R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, no. 2, pp. 257-286, 1989.
15. A. Viterbi, "Error bounds for convolutional codes and an asymptotically optimum decoding algorithm," IEEE Trans. on Information Theory, vol. 13, no. 2, pp. 260-269, 1967.
16. R. Badeau and B. David, "Weighted maximum likelihood autoregressive and moving average spectrum modeling," in Proc. Int. Conf. Audio Speech and Sig. Proces. (ICASSP), Las Vegas, Nevada, USA, Mar.30 - Apr.4 2008.