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Automatické rozpoznání akordů pomocí hlubokých neuronových sítí / Automatic Chord Recognition Using Deep Neural Networks

This work deals with automatic chord recognition using neural networks. The problem was separated into two subproblems. The first subproblem aims to experimental finding of most suitable solution for a acoustic model and the second one aims to experimental finding of most suitable solution for a language model. The problem was solved by iterative method. First a suboptimal solution of the first subproblem was found and then the second one. A total of 19 acoustic and 12 language models were made. Ten training datasets was created for acoustic models and three for language models. In total, over 200 models were trained. The best results were achieved on acoustic models represented by convolutional networks together with language models represented by recurent networks with LSTM modules.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:433596
Date January 2020
CreatorsNodžák, Petr
ContributorsBidlo, Michal, Vašíček, Zdeněk
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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