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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:

  • Plaja-Roglans, Genís; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)
    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 ...
  • Cocco, Giuseppe; Guillén i Fábregas, A. (Albert); Font Segura, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    For random-coding ensembles with pairwise-independent codewords, we show that the probability that the exponent of a given code from the ensemble being smaller than an upper bound on the typical random-coding exponent is ...
  • Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975-; Chandna, Pritish (Sound and Music Computing, 2019)
    Fundamental frequency (f0) modeling is an important but relatively unexplored aspect of choir singing. Performance evaluation as well as auditory analysis of singing, whether individually or in a choir, often depend on ...
  • Srinivasamurthy, Ajay; Holzapfel, Andre; Cemgil, Ali Taylan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Most musical phenomena involve repetitive structures that enable listeners to track meter, i.e. the tactus or beat, the longer over-arching measure or bar, and possibly other related layers. Meters with long measure duration, ...
  • Galdran, Adrian; Carneiro, Gustavo; González Ballester, Miguel Ángel, 1973- (Springer, 2021)
    A large number of different lesions and pathologies can affect the human digestive system, resulting in life-threatening situations. Early detection plays a relevant role in the successful treatment and the increase of ...
  • Mavropoulos, Thanassis; Liparas, Dimitris; Symeonidis, Spyridon; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    The automatic extraction of relations between medical entities found in related texts is considered to be a very important task, due to the multitude of applications that it can support, from question answering systems to ...
  • Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Wanner, Leo (Springer, 2016)
    Nowadays there is an important need by journalists and media monitoring companies to cluster news in large amounts of web articles, in order to ensure fast access to their topics or events of interest. Our aim in this work ...
  • Gialampoukidis, Ilias; Moumtzidou, Anastasia; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Nowadays, multimedia retrieval has become a task of high importance, due to the need for efficient and fast access to very large and heterogeneous multimedia collections. An interesting challenge within the aforementioned ...
  • Bellur, Ashwin; Ishwar, Vignesh; Serra, Xavier; Murthy, Hema A. (Universitat Pompeu Fabra, 2012)
    In this paper, we describe several techniques for detecting tonic pitch value in Indian classical music. In Indian music, the raga is the basic melodic framework and it is built on the tonic. Tonic detection is therefore ...
  • Serra, Xavier; Koduri, Gopala Krishna (2013)
    Knowledge representation technologies developed in the semantic web context can be utilized to bridge the gap between music information research and disciplines like musicology and music theory. This will greatly enhance ...
  • Rauschenberger, Maria; Rello, Luz, 1984-; Füchsel, Silke; Thomaschewski, Jörg (ELRA (European Language Resources Association), 2016)
    In this paper we present a language resource for German, composed of a list of 1,021 unique errors extracted from a collection of texts written by people with dyslexia. The errors were annotated with a set of linguistic ...
  • Pratyush; Umbert Morist, Martí; Serra, Xavier (Sound and Music Computing, 2010)
    In this paper we analyze the proceedings of all the past six editions of the Sound & Music Computing Conference. The proceedings are analyzed using knowledge based “keywords to text” mapping to discover the overall conference ...
  • Dalmazzo, David; Tassani, Simone; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2018)
    Motion Capture (MOCAP) Systems have been used to analyze body motion and postures in biomedicine, sports, rehabilitation, and music. With the aim to compare the precision of low-cost devices for motion tracking (e.g. Myo) ...
  • Sordo, Mohamed; Serrà Julià, Joan; Koduri, Gopala Krishna; Serra, Xavier (Universitat Pompeu Fabra, 2012)
    In this paper a method for extracting semantic information/nfrom online music discussion forums is proposed. The semantic relations are inferred from the co-occurrence of musical concepts in forum posts, using network ...
  • Sentürk, Sertan; Serra, Xavier (International Workshop on Folk Music Analysis, 2016)
    From a computational perspective, structural analysis of OttomanTurkish makam music (OTMM) is a research topic that has not been addressed thoroughly. In this paper we propose a method, which processes machine-readable ...
  • Atli, Hasan Sercan; Bozkurt, Baris; Sentürk, Sertan (Association Dirac, 2015)
    Karar is the final tone in the Turkish makam music performances. The karar frequency, hence the concert pitch varies among performances due to the existence of many diapasons in Turkish makam music, instead of a single ...
  • Porcaro, Lorenzo; Gómez Gutiérrez, Emilia, 1975- (CEUR Workshop Proceedings, 2019)
    Listening to music radios is an activity that since the 20th century is part of the cultural habits for people all over the world. While in the case of analog radios DJs are in charge of selecting the music to be ...
  • Nunes, Cecília; Craene, Mathieu de; Langet, Hélène; Camara, Oscar; Jonsson, Anders, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Decision trees (DTs) are a widely used prediction tool, owing to their interpretability. Standard learning methods follow a locally-optimal approach that trades off prediction performance for computational efficiency. Such ...
  • Fisas Elizalde, Beatriz; Ronzano, Francesco; Saggion, Horacio (ELRA (European Language Resources Association), 2016)
    Scientific literature records the research process with a standardized structure and provides the clues to track the progress in a scientific field. Understanding its internal structure and content is of paramount importance ...
  • Faraldo Pérez, Ángel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Audio Engineering Society, 2017)
    Key detection in electronic dance music is important for producers and DJ’s who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves ...

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