1. Prospectus Update: GA-Based Musical Transcription Steven Emory CS590

2. What I Am Planning to Accomplish Musical Transciption: with transcription and arrangement using genetic algorithms using graph search algorithms (A*)‏ for piano (simpler) and guitar (harder)‏ software

3. What I Am Planning to Accomplish

5. Issues to be Investigated GA versus other methods Computational arrangement Computational composition Minimal instrument transcriptions

6. Why This is Academically Interesting Musical transcription very common Piano and guitar popular instruments Time consuming for human Time consuming for computer too Problem is still open

7. Intended Audience Computer scientists studying music transcription, composition and arrangement Software for musicians

8. Why This is MS-Level Work Transcription problem is a combination of many hard-to-solve problems: Musical Component Extraction Musical Composition The Arrangement Problem The Fingering Problem

9. Previous Work Musical Component Extraction Automatic Thematic Extractor Pattern Recognition http://portal.acm.org/citation.cfm?id=770012.770014 Musical Composition and Arrangement Too many to list Fingering Problem http://www.cs.uga.edu/~potter/CompIntell/cec_arrang ing_paper.pdf

10. Anticipated Challenges Musical Component Extraction Fairly easy Arrangment and Composition Lots of papers but still not well understood Musical Transcription Exploring other methods Fingering Problem Complex and time-consuming bottleneck

11. Anticipated Approach Arrangment and Composition Too many papers, too many techniques May have to skip it Musical Transcription Exploring GA's including interactive techniques Fingering Problem Also try A*