Evaluation Framework for Automatic Singing Transcription

  title={Evaluation Framework for Automatic Singing Transcription},
  author={Emilio Molina and Ana M. Barbancho and Lorenzo J. Tard{\'o}n and Isabel Barbancho},
In this paper, we analyse the evaluation strategies used in previous works on automatic singing transcription, and we present a novel, comprehensive and freely available evaluation framework for automatic singing transcription. This framework consists of a cross-annotated dataset and a set of extended evaluation measures, which are integrated in a Matlab toolbox. The presented evaluation measures are based on standard MIREX note-tracking measures, but they provide extra information about the… CONTINUE READING

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Publications referenced by this paper.
Showing 1-10 of 15 references

Modelling of note events for singing transcription

View 7 Excerpts
Highly Influenced

Recent improvements of an auditory model based front-end for the transcription of vocal queries

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing • 2004
View 5 Excerpts
Highly Influenced

An Audio Front End for Query-by-Humming Systems

ISMIR • 2001
View 8 Excerpts
Highly Influenced

Explicit transition modelling for automatic singing transcription

W. Krige, T. Herbst, T. Niesler
Journal of New Music Research, vol. 37, no. 4, pp. 311–324, 2008. • 2008
View 5 Excerpts
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