Lyric extraction and recognition on digital images of early music sources

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

Volumn , Issue , 2009, Pages 723-727

  Burgoyne, John Ashley ^a   Devaney, Johanna ^a   Ouyang, Yue ^a   Pugin, Laurent ^a   Himmelman, Tristan ^a   Fujinaga, Ichiro ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL IMAGE; EARLY MUSICS; MEDIEVAL MANUSCRIPT; MUSICAL NOTATION; NEW APPROACHES; OPTICAL CHARACTER RECOGNITION (OCR); OPTICAL MUSIC RECOGNITION; PAGE LAYOUTS; PAPER SURVEYS; TEXT LINES; VOCAL MUSIC;

OPTICAL CHARACTER RECOGNITION;

INFORMATION RETRIEVAL;

EID: 84873686672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Pinto, J. C., P. Vieira, M. Ramalho, M. Mengucci, P. Pina, and F. Muge. 2000. Ancient music recovery for digital libraries. In Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries, 24-34.
2. Ouyang, Y., J. A. Burgoyne, L. Pugin, and I. Fujinaga. 2009. A robust border-detection algorithm with application to medieval manuscripts. In Proceedings of the International Computer Music Conference.
3. Pugin, L. 2006. Optical music recognition of early typographic prints using hidden Markov models. In Proceedings of the 7th International Conference on Music Information Retrieval, 53-6.
4. Choudhury, G. S., T. DiLauro, M. Droettboom, I. Fujinaga, and K. MacMillan. 2001. Strike up the score: Deriving searchable and playable digital formats from sheet music. D-Lib Magazine 7 (2).
5. Jones, G., B. Ong, I. Bruno, and K. Ng. 2007. Optical music imaging: Music document digitization, recognition, evaluation. In Interactive Multimedia Music Technologies, ed. K. Ng and P. Nesi, 50-79. Hershey, PA: IGI Global.
6. Droettboom, M. 2004. Beyond transcription: Case studies in special document analysis requirements. In Proceedings of the International Workshop on Document Image Analysis for Libraries.
7. Vinciarelli, A., S. Bengio, and H. Bunke. 2004. Offline recognition of unconstrained handwritten texts using HMMs and statistical language models. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (6): 709-20.
8. Steinherz, T., E. Rivlin, and N. Intrator. 1999. Offline cursive script word recognition: A survey. International Journal on Document Analysis and Recognition 2 (2-3): 90-100.
9. Wingenroth, B., M. Patton, and T. DiLauro. 2002. Enhancing access to the Levy sheet music collection: Reconstructing full-text lyrics from syllables. In Proceedings of the ACM-IEEE Joint Conference on Digital Libraries, 308-9.
10. Ernst-Gerlach, A., and N. Fuhr. 2007. Retrieval in text collections with historic spelling using linguistic and spelling variants. In Proceedings of the ACMIEEE Joint Conference on Digital Libraries, 333-41.
11. Diet, J., and F. Kurth. 2007. The Probado music repository at the Bavarian State Library. In Proceedings of the 8th International Conference on Music Information Retrieval, 501-4.
12. Likforman-Sulem, L., Z. Abderrazak, and T. Bruno. 2007. Text line segmentation of historical documents: A survey. International Journal on Document Analysis and Recognition 9 (2): 123-38.
13. Feldbach, M. and K. D. Tonnies. 2001. Line detection and segmentation in historical church registers. In Proceedings of the 6th International Conference on Document Analysis and Recognition, 743-7.
14. Pu, Y., and Z. Shi, Z. 1998. A natural learning algorithm based on Hough transform for text lines extraction in handwritten documents. In Proceedings of the 6th International Workshop on Frontiers in Handwriting Recognition, 637-46.
15. Fornes, A., J. Llados, and G. Sanchez. 2005. Staff and graphical primitive segmentation in old handwritten scores. In Artificial Intelligence Research and Development, ed. B. López, J. Meléndez, P. Radeva, and J. Vitrià, 83-90. Amsterdam: IOS Press.
16. Digital Image Archive of Medieval Music. http://www.diamm.ac.uk/(accessed 22 May 2009).
17. Artières, T., N. Gauthier, P. Gallinari, and B. Dorizzi. 2002. A hidden Markov models combination framework for handwriting recognition. International Journal on Document Analysis and Recognition 5 (4): 233-43.
18. Lafferty, J., A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the International Conference on Machine Learning, 282-9.