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Visualitzant Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per títol

Visualitzant Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per títol

Ordena per: Ordre: Resultats:

  • 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 small ...
  • Ramires, António; Serra, Xavier (DAFx, 2019)
    Reusing recorded sounds (sampling) is a key component in Electronic Music Production (EMP), which has been present since its early days and is at the core of genres like hip-hop or jungle. Commercial and non-commercial ...
  • Blaauw, Merlijn; Bonada, Jordi, 1973-; Daido, Ryunosuke (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    There are many use cases in singing synthesis where creating voices from small amounts of data is desirable. In text-to-speech there have been several promising results that apply voice cloning techniques to modern deep ...
  • Serra, Xavier (ACM Association for Computer Machinery, 2012)
    In this paper we describe the data gathering work done within a large research project, CompMusic, which emphasizes a culture specific approach in the automatic description of several world music repertoires. Currently we ...
  • Ganguli, Kaustuv Kanti; Gulati, Sankalp; Serra, Xavier; Rao, Preeti (International Society for Music Information Retrieval (ISMIR), 2016)
    Indian art music is quintessentially an improvisatory music form in which the line between ‘fixed’ and ‘free’ is extremely subtle. In a raga performance, the melody is loosely constrained by the chosen composition but ...
  • Won, Minz; Chun, Sanghyuk; Nieto Caballero, Oriol (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We introduce a trainable front-end module for audio representation learning that exploits the inherent harmonic structure of audio signals. The proposed architecture, composed of a set of filters, compels the subsequent ...
  • Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2015)
    Abstract structures from which the generation naturally starts often do not contain any functional nodes, while surface-syntactic structures or a chain of tokens in a linearized tree contain all of them. Therefore, data-driven ...
  • Zinemanas, Pablo; Hounie, Ignacio; Cancela, Pablo; Font Corbera, Frederic; Rocamora, Martín; Serra, Xavier (Detection and Classication of Acoustic Scenes and Events (DCASE), 2020)
    This document presents DCASE-models, an open–source Python library for rapid prototyping of environmental sound analysis systems, with an emphasis on deep–learning models. Together with a collection of functions for ...
  • Serra, Xavier (2008)
    La creixent facilitat en l'accés i ús de les noves tecnologies de la informació i de les comunicacions està propiciant molts canvis en la nostra societat. Actualment, la comunicació humana està completament mediatitzada ...
  • Jindal, Nihar; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2009)
    A contemporary perspective on the tradeoff between transmit antenna diversity and spatial multi-plexing is provided. It is argued that, in the context of modern cellular systems and for the operating points of interest, ...
  • Carrascosa Zamacois, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    WiFi densification leads to the existence of multiple overlapping coverage areas, which allows user stations (STAs) to choose between different Access Points (APs). The standard WiFi association method makes the STAs select ...
  • Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Serra, Xavier (ISMIR, 2020)
    We present the integration of various CNN TensorFlow models developed for different MIR tasks into Essentia. This is a continuation of our previous work [1], extending the list of supported models and adding new algorithms ...
  • Chandna, Pritish; Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    Unison singing is the name given to an ensemble of singers simultaneously singing the same melody and lyrics. While each individual singer in a unison sings the same principle melody, there are slight timing and pitch ...
  • Petermann, Darius; Chandna, Pritish; Cuesta, Helena; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    Choral singing is a widely practiced form of ensemble singing wherein a group of people sing simultaneously in polyphonic harmony. The most commonly practiced setting for choir ensembles consists of four parts; Soprano, ...
  • Espinosa-Anke, Luis; Carlini, Roberto; Saggion, Horacio; Ronzano, Francesco (European Language Resources Association, 2016)
    We present DEFEXT, an easy to use semi supervised Definition Extraction Tool. DEFEXT is designed to extract from a target corpus those textual fragments where a term is explicitly mentioned together with its core features, ...
  • Espinosa-Anke, Luis; Saggion, Horacio; Delli Bovi, Claudio (CEUR, 2015)
    De nition Extraction is the task to identify snippets of free text in which/na term is de ned. While lexicographic studies have proposed di erent de nition typologies and categories, most NLP tasks aimed at revealing word ...
  • Aragón, Pablo; Kaltenbrunner, Andreas; Calleja-López, Antonio; Pereira, Andrés; Monterde Mateo, Arnau; Barandiaran, Xabier E.; Gómez, Vicenç (Springer Congressos, 2017)
    With the irruption of ICTs and the crisis of political representation, many online platforms have been developed with the aim of improving participatory democratic processes. However, regarding platforms for online ...
  • Andreadis, Stelios; Stavropoulos, Thanos G.; Meditskos, Georgios; Kompatsiaris, Ioannis (CEUR Workshop Proceedings, 2016)
    With the ever-growing prevalence of dementia, nursing costs are in-creasing, while the ability to live independently vanishes. Dem@Home is an ambient assisted living framework to support independent living while receiv-ing ...
  • Ghimpeteanu, Gabriela; Batard, Thomas; Bertalmío, Marcelo; Levine, Stacey (Springer, 2014)
    In this paper, we provide a new non-local method for image denoising. The key idea we develop is to denoise the components of the image in a well-chosen moving frame instead of the image itself.We prove the relevance of ...
  • Meditskos, Georgios; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    We present a framework for semantic situation understand- ing and interpretation of multimodal data using Description Logics (DL) and rules. More precisely, we use DL models to formally describe contex- tualised dependencies ...

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