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With computer generated performances

Tests on Borodin's Polvtsian dance give the following results:
a = 76.7% of played errors have been detected.
b = 76.7% of played errors have been detected and well classified.
c = 2.8% of good notes have been recognised as errors.

Here is what we obtain with Monti's Czardas:
a = 92.2% of played errors have been detected.
b = 78.1% of played errors have been detected and well classified.
c = 4.3% of good notes have been recognised as errors.

Figure 6.4: Results for real pieces with generated performances
\resizebox{\figwidth}{!}{\includegraphics{figures/results2.eps}}

Results for these ``long pieces'' are not very different from first results. That is a good point: size of pieces don't seem to have any influence on detection rates. It is anyway a bit amazing to see that error detection is more performant on a fast and complex piece than on a slow one. This can be explained by testing conditions: more note errors have been tested for the Czardas, which give high detection rate (a) and lower classification rate (b).


next up previous contents
Next: With played and recorded Up: Real scores Previous: Real scores   Contents
Mathieu Gilles (Betr. soltau) 2003-08-25