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Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Transfer learning"

Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Transfer learning"

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  • Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Pons Puig, Jordi; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Essentia is a reference open-source C ++ /Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predictions with pre-trained deep learning models, ...
  • Pons Puig, Jordi; Serrà Julià, Joan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a naive regularization of the solution space, ...
  • Gómez Cañón, Juan Sebastián; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    In this study, we address emotion recognition using unsupervised feature learning from speech data, and test its transferability to music. Our approach is to pre-train models using speech in English and Mandarin, and then ...
  • Kim, Jaehun; Won, Minz; Serra, Xavier; Liem, Cynthia C. S. (ACM Association for Computer Machinery, 2018)
    The automated recognition of music genres from audio information is a challenging problem, as genre labels are subjective and noisy. Artist labels are less subjective and less noisy, while certain artists may relate more ...

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