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What is Evaluating Pitch Spelling Algorithms about?

This document compares several pitch spelling algorithms by evaluating their performance on a test corpus of classical music. The algorithms analyzed are those proposed by Longuet-Higgins, Cambouropoulos, Temperley, Chew and Chen, and Meredith. The test corpus contains nearly 200,000 notes evenly divided among works by 8 composers. The algorithms are evaluated based on their note accuracy and style dependence, with Meredith

Author

Fabian Moss

Language

EN