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ABSTRACT

The goal of the Lester S. Levy Sheet Music Collection, Phase Two project is to develop tools, processes, and systems that facilitate collection ingestion through automated processes that reduce, but not necessarily eliminate human intervention[1]. One of the major components of this project is an optical music recognition (OMR) system[2] that extracts musical information and lyric text from the page images that comprise each piece in a collection. It is often the case, as it is with the Levy Collection, that lyrics embedded in music notation are written in a syllabicated form so that each syllable lines up with the note or notes to which it corresponds. Searching the syllabicated form of words, however, would be counterintuitive and cumbersome for end-users. This paper describes the evolution of a tool that, using a simple algorithm, rebuilds complete words from lyric syllables and, in ambiguous cases, provides feedback to the collection builder. This system will be integrated into the workflow of the Levy Sheet Music Collection, but has broad applicability for any project ingesting musical scores with lyrics.

REFERENCES

• 1: Choudhury, G. S. et al. Digital Workflow Management: The Lester S. Levy Digitized Collection of Sheet Music. First Monday, 5(6), June 2000
• 2: Choudhury, G. S., et al. Strike Up the Score: Deriving Searchable and Playable Digital Formats from Sheet Music. D-Lib Magazine, 7(2), February 2001
• 3: David D. Palmer, A trainable rule-based algorithm for word segmentation, Proceedings of the 35th annual meeting on Association for Computational Linguistics, p.321-328, July 07-12, 1997, Madrid, Spain
• 4: N. Porter, editor. Webster's Revised Unabridged Dictionary. G and C. Merriam Co., 1913
• 5: Proc. Perl Conference 2.0. An Algorithmic Approach to English Pluralization, 1998
• 6: Project Gutenberg. http://promo.net/pg/
• 7: Richard Sproat , William Gale , Chilin Shih , Nancy Chang, A stochastic finite-state word-segmentation algorithm for Chinese, Computational Linguistics, v.22 n.3, p.377-404, September 1996
• 8: The Mutopia Project. http://www.mutopiaproject.org/

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Linguistic processing

Keywords:
music information retrieval, text segmentation