Johnny Can't Sing: A Comprehensive Error Model for Sung Music Queries

Abstract

We propose a model for errors in sung queries, a variant of the Hidden Markov Model (HMM). This is related to the problem of identifying the degree of similarity between a query and a potential target in a database of musical works, in the music retrieval framework. The model comprehensively expresses the types of error or variation between target and query: cumulative and non-cumulative local errors, transposition, tempo and tempo changes, insertions, deletions and modulation. Results of experiments demonstrating the robustness of the model are presented.

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@inproceedings{Meek2002JohnnyCS, title={Johnny Can't Sing: A Comprehensive Error Model for Sung Music Queries}, author={Colin Meek and William P. Birmingham}, booktitle={ISMIR}, year={2002} }