Automatic assessment technologies to support drums practicing
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- dc.contributor.author Amorós Cortiella, Macià
- dc.date.accessioned 2021-11-02T12:24:49Z
- dc.date.available 2021-11-02T12:24:49Z
- dc.date.issued 2021-07
- dc.description Tutor: Xavier Serraca
- dc.description.abstract This project is focused in the development of automated assessment tools for the support of musical instrument learning, concretely drums learning. The state of the art on music performance assessment has advanced in the last years and the demand for online learning resources has increased. The goal is to develop software that listens to a student reading a music sheet with drums, then evaluates the audio recording giving some feedback on the tempo and reading accuracy. First a review of the previous work on different topics is made. Then, a drums event dataset is created as well as a classifier, and a performance assessment pipeline has been developed focused on giving feedback through a visualization of the waveform in parallel with the exercise score. Results suggests that the classifier can generalize with new audios, despite this, there is a large margin to improve the classification results. Furthermore, there are some limitations in terms of maximum tempo to classify correctly the events and the amount of saturation that the system can afford to ensure a correct prediction. Finally, a discussion introduces the idea of a teacher that follows the same process as the pipeline proposed, thinking if this is a correct approach to the problem and if this is a fair way to evaluate the system in a task that we do differently with more information than one audio.ca
- dc.format.mimetype application/pdf*
- dc.identifier.uri http://hdl.handle.net/10230/48864
- dc.language.iso engca
- dc.rights Reconeixement-NoComercial 4.0 Internacional (CC BY-NC 4.0)ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/ca
- dc.subject.keyword Automatic assesmenten
- dc.subject.keyword Signal processingen
- dc.subject.keyword Music information retrievalen
- dc.subject.keyword Drumsen
- dc.subject.keyword Machine learningen
- dc.title Automatic assessment technologies to support drums practicingca
- dc.type info:eu-repo/semantics/bachelorThesisca