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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 |