publication . Doctoral thesis . Other literature type . 2018

Deep Neural Yodelling

Pfäffli, Daniel (Autor/in);
Open Access
  • Published: 01 Jan 2018
Abstract
Yodel music differs from most other genres by exercising the transition from chest voice to falsetto with an audible glottal stop which is recognised even by laymen. Yodel often consists of a yodeller with a choir accompaniment. In Switzerland, it is differentiated between the natural yodel and yodel songs. Today's approaches to music generation with machine learning algorithms are based on neural networks, which are best described by stacked layers of neurons which are connected with neurons of the lower layer. The networks are trained using real music samples in lead sheet or audio waveform to adapt their weights, so they produce similar ones. So far, proposed...
Subjects
free text keywords: Generative, Music synthesis, Convolution neural network, CNN, Variational autoencoder, VAE, Yodel, Natural yodel, WaveNet
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ZENODO
Doctoral thesis . 2018
Provider: ZENODO
Zenodo
Other literature type . 2018
Provider: Datacite
Zenodo
Other literature type . 2018
Provider: Datacite
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