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Beat Tracking in Musical Recordings with Neural Networks

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dc.contributor.author Henkel, Magnus
dc.date.accessioned 2019-08-07T22:15:53Z
dc.date.available 2019-08-07T22:15:53Z
dc.date.issued 2019-08-07
dc.identifier.uri http://132.248.52.100:8080/xmlui/handle/132.248.52.100/16825
dc.description The beat tracking process is divided into four stages: audio preprocessing, network training, peak-picking and beat detection. In the practical part, two network architectures (CNN and RNN) are trained and evaluated. es_ES
dc.description.abstract Beat tracking refers to the automated detection of the beat in musical recordings. Two neural network architectures are trained and evaluated for this task. es_ES
dc.language.iso en_US es_ES
dc.subject Titulo: Beat Tracking in Musical Recordings with Neural Networks es_ES
dc.subject Redes Neuronales es_ES
dc.subject Procesamiento de Audio es_ES
dc.subject Computación es_ES
dc.subject Aprendizaje Automático es_ES
dc.subject Machine Learning es_ES
dc.subject Neural Networks es_ES
dc.subject Audio Processing es_ES
dc.title Beat Tracking in Musical Recordings with Neural Networks es_ES
dc.type Tesis es_ES
dc.director.trabajoescrito Meza Ruiz, Ivan Vladimir
dc.carrera.ingenieria Ingeniería en computación es_ES


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  • Tesis 2019
    Trabajos escritos para obtener grado académico de licenciatura en ingeniería de 2019.

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