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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Modelling Music Waveforms Using Wavenet
 Slanináková, Terézia ; Landini, Federico Nicolás (referee) ; Beneš, Karel (advisor)
This thesis focuses on exploring the possibilities of modelling music and speech with WaveNet, a deep neural network for generating raw audio waveforms. Using existing implementations, WaveNet was trained on multiple datasets and produced several audio files. Multiple experiments were carried out with various hyperparameter setups of WaveNet to find the optimal settings for the best results. Furthermore, multiple generation schemes were used, each having varying impact on the quality of generated audio. This quality was evaluated using human assessment via a questionnaire, where the musical samples were rated with a score 2-3.1818 on a 5 point scale, which is comparable to the rating of referential audio from the original WaveNet paper (3.1818).
Detailed record
Modelling Music Waveforms Using Wavenet
 Slanináková, Terézia ; Landini, Federico Nicolás (referee) ; Beneš, Karel (advisor)
This thesis focuses on exploring the possibilities of modelling music and speech with WaveNet, a deep neural network for generating raw audio waveforms. Using existing implementations, WaveNet was trained on multiple datasets and produced several audio files. Multiple experiments were carried out with various hyperparameter setups of WaveNet to find the optimal settings for the best results. Furthermore, multiple generation schemes were used, each having varying impact on the quality of generated audio. This quality was evaluated using human assessment via a questionnaire, where the musical samples were rated with a score 2-3.1818 on a 5 point scale, which is comparable to the rating of referential audio from the original WaveNet paper (3.1818).
Detailed record

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