Automatic generation of lead sheets from polyphonic music signals

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

Volumn , Issue , 2009, Pages 603-608

  Weil, Jan ^a   Sikora, Thomas ^a   Durrieu, J L ^b   Richard, Gaël ^b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b INSTITUT TELECOM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC GENERATION; CHORD SEQUENCE; MUSIC NOTATION; POLYPHONIC MUSIC; PULSE POSITIONS;

INFORMATION RETRIEVAL;

AUDIO SIGNAL PROCESSING;

EID: 80052979880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. M. P. Ryynanen and A. P. Klapuri. Automatic transcription of melody, bass line, and chords in polyphonic music. CMJ, 32(3):72-86, 2008.
2. J. Weil, J.-L. Durrieu, G. Richard, and T. Sikora. Beat tracking using the delta-phase matrix. Technical report, Institut Telecom, Telecom ParisTech, CNRS LTCI, 2009.
3. J.P. Bello and J. Pickens. A robust mid-level representation for harmonic content in music signals. In ISMIR, pages 304-311, 2005.
4. J.-L. Durrieu, G. Richard, and B. David. An iterative approach to monaural musical mixture de-soloing. In ICASSP, pages 105-108, 2009.
5. A. Sheh and D.P.W. Ellis. Chord segmentation and recognition using EM-trained hidden Markov models. In ISMIR, pages 185-191, 2003.
6. J.C. Brown and M.S. Puckette. An efficient algorithm for the calculation of a constant Q transform. JASA, 92:2698-2698, 1992.
7. H. Papadopoulos and G. Peeters. Large-scale study of chord estimation algorithms based on chroma representation and hmm. In CBMI'07, pages 53-60, 2007.
8. H. Papadopoulos and G. Peeters. Simultaneous estimation of chord progression and downbeats from an audio file. In ICASSP, pages 121-124, 2008.
9. E. Gómez. Tonal Description of Music Audio Signals. PhD thesis, Universitat Pompeu Fabra, 2006.
10. E. Vincent. Musical source separation using timefrequency source priors. IEEE Trans. on Audio, Speech, and Lang. Proc., 14(1):91-98, 2006.
11. Accompanying website. http://www.nue.tuberlin.de/research/leadsheets/.
12. A. Daniel, V. Emiya, and B. David. Perceptually-based evaluation of the errors usually made when automatically transcribing music. In ISMIR, pages 550-555, 2008.