Approximate note transcription for the improved identification of difficult chords

Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010

Volumn , Issue , 2010, Pages 135-140

  Mauch, Matthias ^a   Dixon, Simon ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Chord detection; Chord extraction; Chromagram; Non negative least squares (NNLS); Transcription

Indexed keywords

AUTOMATIC DETECTION; CHROMA FEATURES; CHROMAGRAM; COMPUTING-TASK; DETECTION TASKS; FRONT END; FUNDAMENTAL FREQUENCIES; HIGH-LEVEL MODELS; LEAST SQUARE; LEAST SQUARES PROBLEMS; NON NEGATIVES; TIME-SERIES MODELLING;

AUDIO ACOUSTICS; INFORMATION RETRIEVAL; INSECTICIDES;

TRANSCRIPTION;

EID: 84873595823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. S. A. Abdallah and M. D. Plumbley. Polyphonic music transcription by non-negative sparse coding of power spectra. In Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR 2004), 2004.
2. M. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, and M. Slaney. Content-Based Music Information Retrieval: Current Directions and Future Challenges. Proceedings of the IEEE, 96(4):668-696, 2008.
3. B. Catteau, J.-P. Martens, and M. Leman. A probabilistic framework for audio-based tonal key and chord recognition. In R. Decker and H.-J. Lenz, editors, Proceedings of the 30th Annual Conference of the Gesellschaft f̈ur Klassifikation, pages 637-644, 2007.
4. M. E. P. Davies, M. D. Plumbley, and D. Eck. Towards a musical beat emphasis function. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2009), 2009.
5. E. Gomez. Tonal Description of Audio Music Signals. PhD thesis, Universitat Pompeu Fabra, Barcelona, 2006.
6. A. P. Klapuri. Multiple fundamental frequency estimation by summing harmonic amplitudes. In Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2006), pages 216-221, 2006.
7. C. L. Lawson and R. J. Hanson. Solving Least Squares Problems, chapter 23. Prentice-Hall, 1974.
8. K. Lee and M. 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, February 2008.
9. N. C. Maddage. Automatic structure detection for popular music. IEEE Multimedia, 13(1):65-77, 2006.
10. M. Mauch. Automatic Chord Transcription from Audio Using Computational Models of Musical Context. PhD thesis, Queen Mary University of London, 2010.
11. M. Mauch, C. Cannam, M. Davies, S. Dixon, C. Harte, S. Kolozali, D. Tidhar, and M. Sandler. OMRAS2 metadata project 2009. In Late-breaking session at the 10th International Conference on Music Information Retrieval (ISMIR 2009), 2009.
12. M. Mauch and S. Dixon. Simultaneous estimation of chords and musical context from audio. to appear in IEEE Transactions on Audio, Speech, and Language Processing, 2010.
13. M. Mauch, K. C. Noland, and S. Dixon. Using musical structure to enhance automatic chord transcription. In Proceedings of the 10th International Conference on Music Information Retrieval (ISMIR 2009), pages 231- 236, 2009.
14. K. P. Murphy. The Bayes Net Toolbox for Matlab. Computing Science and Statistics, 33(2):1024-1034, 2001.
15. L. Oudre, Y. Grenier, and C. Févotte. Template-based chord recognition: Influence of the chord types. In Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), pages 153-158, 2009.
16. H. Papadopoulos and G. Peeters. Simultaneous estimation of chord progression and downbeats from an audio file. In Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), pages 121-124, 2008.
17. G. Peeters. Chroma-based estimation of musical key from audio-signal analysis. In Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2006), 2006.
18. M. Ryynänen and A. P. Klapuri. Automatic Transcription of Melody, Bass Line, and Chords in Polyphonic Music. Computer Music Journal, 32(3):72-86, 2008.
19. M. Varewyck, J. Pauwels, and J.-P. Martens. A novel chroma representation of polyphonic music based on multiple pitch tracking techniques. In Proceedings of the 16th ACM International Conference on Multimedia, pages 667-670, 2008.
20. A. Weller, D. Ellis, and T. Jebara. Structured prediction models for chord transcription of music audio. In MIREX Submission Abstracts. 2009. http://www.cs.columbia.edu/̃jebara/papers/icmla09adrian.pdf.
21. T. Yoshioka, T. Kitahara, K. Komatani, T. Ogata, and H. G. Okuno. Automatic chord transcription with concurrent recognition of chord symbols and boundaries. In Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR 2004), pages 100- 105, 2004.