Benvinguts al Repositori Digital de la UPF

Visualitza Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per matèria "Deep learning"

Visualitza Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per matèria "Deep learning"

Ordena per: Ordre: Resultats:

  • Oramas, Sergio; Nieto Caballero, Oriol; Sordo, Mohamed; Serra, Xavier (ACM Association for Computer Machinery, 2017)
    An increasing amount of digital music is being published daily. Music streaming services often ingest all available music, but this poses a challenge: how to recommend new artists for which prior knowledge is scarce? In ...
  • Martel Baro, Héctor; Miron, Marius (2017)
    Training deep learning source separation methods involves computationally intensive procedures relying on large multi-track datasets. In this paper we use data augmentation to improve hip hop source sepa- ration using ...
  • Pons Puig, Jordi; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Many researchers use convolutional neural networks with small rectangular filters for music (spectrograms) classification. First, we discuss why there is no reason to use this filters setup by default and second, we point ...
  • Espinosa-Anke, Luis; Oramas, Sergio; Saggion, Horacio; Serra, Xavier (2017)
    Music consumption habits as well as the Music market have changed dramatically due to the increasing popularity of digital audio and streaming services. Today, users are closer than ever to a vast number of songs, albums, ...
  • Blaauw, Merlijn; Bonada, Jordi, 1973- (International Speech Communication Association (ISCA), 2016)
    Latent generative models can learn higher-level underlying factors from complex data in an unsupervised manner. Such models can be used in a wide range of speech processing applications, including synthesis, transformation ...
  • Chandna, Pritish; Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (Springer, 2017)
    In this paper we introduce a low-latency monaural source separation framework using a Convolutional Neural Network (CNN). We use a CNN to estimate time-frequency soft masks which are applied for source separation. We ...
  • Serrà, Joan; Surís, Dídac; Miron, Marius; Karatzoglou, Alexandros (Proceedings of Machine Learning Research, 2018)
    Catastrophic forgetting occurs when a neural network loses the information learned in a previous task after training on subsequent tasks. This problem remains a hurdle for artificial intelligence systems with sequential ...