Randomly weighted cnns for (music) audio classification

J Pons, X Serra - … 2019-2019 IEEE international conference on …, 2019 - ieeexplore.ieee.org
The computer vision literature shows that randomly weighted neural networks perform
reasonably as feature extractors. Following this idea, we study how non-trained (randomly …

Creating an a cappella singing audio dataset for automatic **gju singing evaluation research

R Gong, RC Repetto, X Serra - … of the 4th International Workshop on …, 2017 - dl.acm.org
The data-driven computational research on automatic **gju (also known as Bei**g or
Peking opera) singing evaluation lacks a suitable and comprehensive a cappella singing …

[PDF][PDF] Deep neural networks for music and audio tagging

J Pons Puig - 2019 - jordipons.me
Automatic music and audio tagging can help increase the retrieval and re-use possibilities of
many audio databases that remain poorly labeled. In this dissertation, we tackle the task of …

Towards Context-Aware Neural Performance-Score Synchronisation

R Agrawal - arxiv preprint arxiv:2206.00454, 2022 - arxiv.org
Music can be represented in multiple forms, such as in the audio form as a recording of a
performance, in the symbolic form as a computer readable score, or in the image form as a …

The musical dimension of chinese traditional theatre: An analysis from computer aided musicology

R Caro Repetto - 2018 - produccioncientifica.ugr.es
Music, and especially singing, is one of the most important dimensions of xiqu, Chinese
traditional theatre. The melody of xiqu arias is arranged by actors and actresses according to …