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Browsing Informes (Departament de Tecnologies de la Informació i les Comunicacions) by Title

Browsing Informes (Departament de Tecnologies de la Informació i les Comunicacions) by Title

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  • Plaja-Roglans, Genís; Miron, Marius; Serra, Xavier (2022-09-22)
    Notable progress in music source separation has been achieved using multi-branch networks that operate on both temporal and spectral domains. However, such networks tend to be complex and heavy-weighted. In this work, we ...
  • Gómez Gutiérrez, Emilia, 1975-; Streich, Sebastian; Ong, Bee Suan; Paiva, Rui Pedro; Tappert, Sven; Batke, Jan-Mark; Poliner, Graham; Ellis, Daniel P. W.; Bello, Juan Pablo (Universitat Pompeu Fabra, 2006)
    This paper provides an overview of current state-of-the-art approaches for melody extraction from polyphonic audio recordings, and it proposes a methodology for the quantitative evaluation of melody extraction algorithms. ...
  • Hernández Leo, Davinia; Ferrer, Josep; Vujovic, Milica; Tabuenca, Bernardo; Ortiz-Beltran, Ariel; Greller, Wolfgang; Carrió, Mar; Moyano Claramunt, Elisabet (2023-10-25)
    Education plays a transversal key role in the UN's Sustainable Development Goals agenda. Educating young people on natural health and the interpretation of scientific evidence can contribute to increased levels of informed ...
  • Serra, Xavier (1988)
    This paper describes an environment developed at CCRMA for the analysis, transformation, and resynthesis of sounds. It has been written on a Lisp Machine workstation, using an Array Processor to speed up the signal processing ...
  • Cortès, Guillem; Ciurana, Alex; Molina, Emilio; Miron, Marius; Meyers, Owen; Six, Joren; Serra, Xavier (2022-09-21)
    Audio Fingerprinting (AFP) is a well-studied problem in music information retrieval for various use-cases e.g. content-based copy detection, DJ-set monitoring, and music excerpt identification. However, AFP for ...
  • Morsi, Alia; Serra, Xavier (2022-09-22)
    Although audio to score alignment is a classic Music Information Retrieval problem, it has not been defined uniquely with the scope of musical scenarios representing its core. The absence of a unified vision makes it ...
  • Plaja-Roglans, Genís; Miron, Marius; Shankar, Adithi; Serra, Xavier (2023-10-30)
    Supervised music source separation systems using deep learning are trained by minimizing a loss function between pairs of predicted separations and ground-truth isolated sources. However, open datasets comprising ...
  • Hernández Leo, Davinia (2023-07-17)
    Quin impacte té la Intel·ligència Artificial (IA) en l’avaluació. Com hem d’adaptar els mètodes d’avaluació per tal que segueixin essent efectius i, a més, posin a prova les competències relacionades amb l’ús de la IA
  • Haki, Behzad; Pelinski, Teresa; Nieto, Marina; Jordà Puig, Sergi (2023-11-20)
    Sampled drums can be used as an affordable way of creating human-like drum tracks, or perhaps more interestingly, can be used as a mean of experimentation with rhythm and groove. Similarly, AI-based drum generation tools ...
  • Hernández Leo, Davinia (2024-01-09)
  • Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (2017)
    To conduct a more realistic evaluations on resource allocation algorithms for Virtualized Network Functions (VNFs), researches need data on: (1) potential Network Functions (NFs) chains (policies), (2) traffic flows ...
  • Kim, Hyon; Serra, Xavier (2023-08-31)
    In any piano performance, expressiveness is paramount for effectively conveying the intent of the performer, and one of the most significant aspects of expressiveness is the loudness at the individual key or note level. ...
  • Penarrubia, Carlos; Garrido-Muñoz, Carlos; Valero-Mas, Jose J.; Calvo Zaragoza, Jorge (2023-10-30)
    Optical Music Recognition (OMR) is the field of research that studies how to computationally read music notation from written documents. Thanks to recent advances in computer vision and deep learning, there are successful ...
  • Alonso Jiménez, Pablo; Serra, Xavier; Bogdanov, Dmitry (2023-10-03)
    In this work, we address music representation learning using convolution-free transformers. We build on top of existing spectrogram-based audio transformers such as AST and train our models on a supervised task using ...
  • Correya, Albin Andrew; Bogdanov, Dmitry; Alonso Jiménez, Pablo; Serra, Xavier (2023-01-10)
    We present Essentia API, a web API to access a collection of state-of-the-art music audio analysis and description algorithms based on Essentia, an open-source library and machine learning (ML) models for audio and music ...
  • Mille, Simon; Dasiopoulou, Stamatia (2017)
    This paper describes the FORGe generator at WebNLG. The input DBpedia triples are mapped onto sentences by applying a series of rule-based graph-transducers and aggregation grammars to template predicate-argument structures ...
  • Mille, Simon; Dasiopoulou, Stamatia (Universitat Pompeu Fabra, 2017)
    This paper describes the FORGe generator at E2E. The input triples are mapped onto sentences by applying a series of rule-based graph-transducers and aggregation grammars to template predicate-argument structures associated ...
  • Tamer, Nazif Can; Özer, Yigitcan; Müller, Meinard; Serra, Xavier (2023-10-24)
    A descriptive transcription of a violin performance requires detecting not only the notes but also the fine-grained pitch variations, such as vibrato. Most existing deep learning methods for music transcription do not ...
  • Nuttall, Thomas; Plaja-Roglans, Genís; Pearson, Lara; Sierra, Xavier (2022-09-22)
    Carnatic Music is a South Indian art and devotional musical practice in which melodic patterns (motifs and phrases), known as sañcāras, play a crucial structural and expressive role. We demonstrate how the combination of ...
  • Cano Vila, Pedro; Gómez Gutiérrez, Emilia, 1975-; Gouyon, Fabien; Herrera Boyer, Perfecto, 1964-; Koppenberger, Markus; Ong, Bee Suan; Serra, Xavier; Streich, Sebastian; Wack, Nicolas (2006)
    In this paper we report on the ISMIR 2004 Audio Description Contest. We first detail the contest organization, evaluation metrics, data and infrastructure. We then provide the details and ...

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