The Optical Neume Recognition Project · 2014. 4. 26. · Neume Identification Neume Categorization...

1
The Optical Neume Recognition Project Dr. Jennifer Bain (Dalhousie University); Dr. Inga Behrendt (Universität Tübingen); Dr. Ichiro Fujinaga (McGill University); Dr. Kate Helsen (Western University); Alan Sexton (University of Birmingham) http://www.cs.bham.ac.uk/~aps/research/projects/neumes/ Image Processing Binarization Neume Identification Neume Categorization Neume Isolation Neume Editor (Musical Encoding Initiative) This research was supported by the Social Sciences and Humanities Research Council. The Project: Development of software to elicit musical directives from graphic symbols (neumes) found in the earliest Western musical notation (1000+ C.E.) Manuscripts contain 100,000 to 250,000 recurrences of approximately 20+ discrete neume types This software will help musicologists: compare scribal traditions isolate differences in chant melodies determine meaning and use for every neume answer questions about neume / text relationship understand more about the scribal process We are also grateful for the work done by Tim Wilfong, Wei Gao, and others at Distributed Digital Music Archives and Libraries Laboratory.

Transcript of The Optical Neume Recognition Project · 2014. 4. 26. · Neume Identification Neume Categorization...

Page 1: The Optical Neume Recognition Project · 2014. 4. 26. · Neume Identification Neume Categorization Neume Isolation Neume Editor (Musical Encoding Initiative) This research was supported

The Optical Neume Recognition Project Dr. Jennifer Bain (Dalhousie University); Dr. Inga Behrendt (Universität Tübingen); Dr. Ichiro Fujinaga (McGill University); Dr. Kate Helsen (Western University); Alan Sexton (University of Birmingham)

http://www.cs.bham.ac.uk/~aps/research/projects/neumes/

Image Processing Binarization Neume Identification

Neume Categorization

Neume Isolation

Neume Editor (Musical Encoding Initiative)

This research was supported by the Social Sciences and Humanities Research Council.

The Project:

• Development of software to elicit musical directives from graphic symbols (neumes) found in the earliest Western musical notation (1000+ C.E.)

• Manuscripts contain 100,000 to 250,000 recurrences of approximately 20+ discrete neume types

This software will help musicologists: • compare scribal traditions • isolate differences in chant melodies • determine meaning and use for every neume • answer questions about neume / text relationship • understand more about the scribal process

We are also grateful for the work done by Tim Wilfong, Wei Gao, and others at Distributed Digital Music Archives and Libraries Laboratory.