SEGAN: speech enhancement generative adversarial network S Pascual, A Bonafonte, J Serrà Proc. of INTERSPEECH, 3642-3646, 2017 | 1397 | 2017 |
Overcoming catastrophic forgetting with hard attention to the task J Serrà, D Surís, M Miron, A Karatzoglou ICML, 2018 | 1058 | 2018 |
Chroma binary similarity and local alignment applied to cover song identification J Serrà, E Gómez, P Herrera, X Serra IEEE Transactions on Audio, Speech, and Language Processing 16 (6), 1138-1151, 2008 | 357 | 2008 |
Measuring the evolution of contemporary western popular music J Serrà, Á Corral, M Boguñá, M Haro, JL Arcos Scientific Reports 2, 521, 2012 | 327 | 2012 |
An empirical evaluation of similarity measures for time series classification J Serrà, JL Arcos Knowledge-Based Systems 67, 305-314, 2014 | 289 | 2014 |
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks S Pascual, M Ravanelli, J Serrà, A Bonafonte, Y Bengio arXiv preprint arXiv:1904.03416, 2019 | 264 | 2019 |
Input complexity and out-of-distribution detection with likelihood-based generative models J Serrà, D Álvarez, V Gómez, O Slizovskaia, JF Núñez, J Luque ICLR, 2019 | 260 | 2019 |
Cross recurrence quantification for cover song identification J Serrà, X Serra, RG Andrzejak New Journal of Physics 11, 093017, 2009 | 224 | 2009 |
Music mood representations from social tags C Laurier, M Sordo, J Serrà, P Herrera Proc. of the Int. Soc. for Music Information Retrieval Conf., 381-386, 2009 | 197 | 2009 |
Audio cover song identification and similarity: background, approaches, evaluation, and beyond J Serrà, E Gómez, P Herrera Advances in Music Information Retrieval 274, 307-332, 2010 | 191 | 2010 |
Beyond interruptibility: predicting opportune moments to engage mobile phone users M Pielot, B Cardoso, K Katevas, J Serrà, A Matic, N Oliver Ubicomp 2017, 2017 | 153 | 2017 |
Towards a universal neural network encoder for time series J Serrà, S Pascual, A Karatzoglou Artificial Intelligence Research and Development: Current Challenges, New …, 2018 | 152 | 2018 |
Tonal representations for music retrieval: from version identification to query-by-humming J Salamon, J Serra, E Gómez International Journal of Multimedia Information Retrieval 2 (1), 45-58, 2013 | 119 | 2013 |
Unsupervised music structure annotation by time series structure features and segment similarity J Serrà, M Muller, P Grosche, JL Arcos IEEE Trans. on Multimedia, special Issue on Music Data Mining 16 (5), 1229-1240, 2014 | 115 | 2014 |
Audio content-based music retrieval P Grosche, M Müller, J Serrà Multimodal music processing, 2012 | 113 | 2012 |
Unifying low-level and high-level music similarity measures D Bogdanov, J Serra, N Wack, P Herrera, X Serra Multimedia, IEEE Transactions on 13 (4), 687-701, 2011 | 102 | 2011 |
Unsupervised detection of music boundaries by time series structure features J Serrà, M Müller, P Grosche, JL Arcos Proc. of the AAAI Conference on Artificial Intelligence, 2012 | 97 | 2012 |
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion J Serrà, S Pascual, C Segura Perales Advances in Neural Information Processing Systems 32, 6793-6803, 2019 | 93 | 2019 |
Identification of versions of the same musical composition by processing audio descriptions J Serrà Universitat Pompeu Fabra, 2011 | 78 | 2011 |
Phrase-based rāga recognition using vector space modeling S Gulati, J Serra, V Ishwar, S Sentürk, X Serra ICASSP, 2016 | 77 | 2016 |