Beat Tracking in Musical Recordings with Neural Networks

dc.carrera.ingenieria	Ingeniería en computación	es_ES
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.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.director.trabajoescrito	Meza Ruiz, Ivan Vladimir
dc.identifier.uri	http://132.248.52.100:8080/xmlui/handle/132.248.52.100/16825
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

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