On Fri, 7 Jul 2000, Laurie Griffiths wrote: > I thought I should say how welcome this discussion is. It is a *very* stimulating discussion > Here we are, all throwing rocks at each others' ideas in the best > traditions of university argument without anyone getting upset and with > everyone (especially the rock throwers) learning new stuff and acquiring > respect for the generators of the ideas. L. I think that one single idea will not solve all the problems that these ideas are adressing. Below I'll try to list a number of problems, then we can perhaps tie the various ideas to those problems and thereby get a further understanding. The problems are listed in no particular order: A. Comparisons of entire tunes ------------------------------ 1. Deduplication in sizable collections of tunes. People are transcribing the same tunes, and in a large collection there might be duplicates. 2. Drawing family trees of tunes. A bit harder than deduplication, since we need to a measure of similarity. I suppose that only imagination is limiting what could be performed with such software. 3. A special case of 2. Submit an entire tune into a search engine and get a list of similar tunes. ... B. Comparison of fragments with entire tunes -------------------------------------------- 1. Tune searching is the typical use 2. Scanning a tune collection for certain motifs, cadenzas etc ... C. Comparison between fragments ------------------------------- Seems to me that the uses here includes both A and B above. The problem is: What is a fragment? ================================================================ It seems to me as if the "spectral" methods could be applied mainly in case A and to some extent in B. In the B case we have a kind of statistical problem. Assume that we have a collection of 32 bar tunes. Then we submit 4 bars as a search. We calculate a spectrum for those 4 bars and want find 32 bar tunes that matches. Giving that the method could solve the this "sampling error" problem, I think that the spectral methods possibly could be used for tune searching. I suppose that the spectral method would fail completely on problem B2, which I think would be soluble using the interval sequence methods (ie "protein sequence" metaphore", or perhaps the polynomial methods). Sigge To subscribe/unsubscribe, point your browser to: http://www.tullochgorm.com/lists.html
Connecting function to ideas (Was Re: [abcusers] ABC, AHC, Do-Re-Mi)
Sigfrid Lundberg, Lub NetLab Fri, 07 Jul 2000 03:49:16 -0700
- Re: [abcusers] ABC, AHC, Do-Re-Mi Sigfrid Lundberg, Lub NetLab
- Re: [abcusers] ABC, AHC, Do-Re-Mi Phil Taylor
- Re: [abcusers] ABC, AHC, Do-Re-Mi John Walsh
- Re: [abcusers] ABC, AHC, Do-Re-Mi Laurie Griffiths
- Re: [abcusers] ABC, AHC, Do-Re-Mi John Walsh
- Re: [abcusers] ABC, AHC, Do-Re-Mi Phil Taylor
- Re: [abcusers] ABC, AHC, Do-Re-Mi Laurie Griffiths
- Re: [abcusers] ABC, AHC, Do-Re-Mi John Walsh
- Re: [abcusers] ABC, AHC, Do-Re-Mi Laurie Griffiths
- Re: [abcusers] ABC, AHC, Do-Re-Mi Laurie Griffiths
- Re: [abcusers] ABC, AHC, Do-Re-Mi Sigfrid Lundberg, Lub NetLab
- Re: [abcusers] ABC, AHC, Do-Re-Mi Phil Taylor
- Re: [abcusers] ABC, AHC, Do-Re-Mi Eric Galluzzo
