• Part-of-speech and prosody-based approaches for robot speech and gesture synchronization

  Pérez Mayos, Laura; Farrús, Mireia; Adell, J. (Springer, 2019)

  Humanoid robots are already among us and they are beginning to assume more social and personal roles, like guiding and assisting people. Thus, they should interact in a human-friendly manner, using not only verbal cues ...
• Contributing to new musicological theories with computational methods: the case of centonization in Arab-Andalusian music

  Nuttall, Thomas; García Casado, Miguel; Núñez Tarifa, Víctor; Caro Repetto, Rafael; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2019)

  Arab-Andalusian music was formed in the medieval Islamic territories of the Iberian Peninsula, drawing on local traditions and assuming Arabic influences. The expert performer and researcher of the Moroccan tradition ...
• 20 Years of automatic chord recognition from audio

  Pauwels, Johan; O’Hanlon, Ken; Gómez Gutiérrez, Emilia, 1975-; Sandler, Mark (International Society for Music Information Retrieval (ISMIR), 2019)

  In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a System using Common Lisp Music. This paper kickstarted an active research topic that has been popular in and around the ISMIR community. The field ...
• A Dataset of rhythmic pattern reproductions and baseline automatic assessment system

  Falcao, Felipe; Bozkurt, Baris; Serra, Xavier; Andrade, Nazareno; Baysal, Ozan (International Society for Music Information Retrieval (ISMIR), 2019)

  This work presents a novel dataset comprised of audio and jury evaluations for rhythmic pattern reproduction performances by students applying for a conservatory. Data was collected in-loco during entrance exams where ...
• Da-TACOS: A dataset for cover song identification and understanding

  Yesiler, Furkan; Tralie, Chris; Correya, Albin Andrew; Silva, Diego F.; Tovstogan, Philip; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2019)

  This paper focuses on Cover Song Identification (CSI), an important research challenge in content-based Music Information Retrieval (MIR). Although the task itself is interesting and challenging for both academia and ...
• Phrase-Level modeling of expression in violin performances

  Ortega, Fabio J. M.; Giraldo, Sergio; Pérez Carrillo, Alfonso Antonio, 1977-; Ramírez, Rafael,1966- (Frontiers, 2019)

  Background: Expression is a key skill in music performance, and one that is difficult to address in music lessons. Computational models that learn from expert performances can help providing suggestions and feedback to ...
• A Framework for multi-f0 modeling in SATB choir recordings

  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 ...
• Multi web audio sequencer: collaborative music making

  Favory, Xavier; Serra, Xavier (2018)

  Recent advancements in web-based audio systems have enabled sufficiently accurate timing control and real-time sound processing capabilities. Numerous specialized music tools, as well as digital audio workstations, are ...
• Learning sound event classifiers from web audio with noisy labels

  Fonseca, Eduardo; Plakal, Manoj; Ellis, Daniel P. W.; Font, Frederic; Favory, Xavier; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  As sound event classification moves towards larger datasets, issues of label noise become inevitable. Web sites can supply large volumes of user-contributed audio and metadata, but inferring labels from this metadata ...
• Randomly weighted CNNs for (music) audio classification

  Pons Puig, Jordi; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  The computer vision literature shows that randomly weighted neural networks perform reasonably as feature extractors. Following this idea, we study how non-trained (randomly weighted) convolutional neural networks perform ...
• Adult content in social live streaming services: characterizing deviant users and relationships

  Lykousas, Nikolaos; Gómez, Vicenç; Patsakis, Constantinos (Institute of Electrical and Electronics Engineers, 2018)

  Social Live Stream Services (SLSS) exploit a new level of social interaction. One of the main challenges in these services is how to detect and prevent deviant behaviors that violate community guidelines. In this work, we ...
• Towards large scale multimedia indexing: a case study on person discovery in broadcast news

  Le, Nam; Bredin, Hervé; Sargent, Gabriel; India, Miquel; López Otero, Paula; Barras, Claude; Guinaudeau, Camille; Gravier, Guillaume; Barbosa da Fonseca, Gabriel; Lyon Freire, Izabela; Patrocínio, Zenilton; Guimarães, Silvio Jamil F.; Martí Juan, Gerard; Morros, Josep Ramon; Hernando, Javier; Docio Fernández, Laura; García Mateo, Carmen; Meignier, Sylvain; Odobez, Jean-Marc (ACM Association for Computer Machinery, 2017)

  The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery ...
• Música coreana en Barcelona: chamanismo, pansori y janggu

  Caro Repetto, Rafael (Sociedad de Etnomusicología (SIBE), 2018)
• Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles

  Martí Juan, Gerard; Sanromà, Gerard; Piella Fenoy, Gemma (Public Library of Science (PLoS), 2019)

  Alzheimer’s disease (AD) affects millions of people and is a major rising problem in health care worldwide. Recent research suggests that AD could have different subtypes, presenting differences in how the disease develops. ...
• A Full-body interactive videogame used as a tool to foster social initiation conducts in children with Autism Spectrum Disorders

  Parés, Narcís, 1966-; Mairena, Maria Angeles; Mora Guiard, Joan; Malinverni, Laura; Padillo, Vanesa; Valero, Lilia; Hervás, Amaia; Parés, Narcís, 1966- (Elsevier, 2019)

  Background Game-based interventions that involve the use of technology have shown to facilitate motivation and learning processes in children with Autism Spectrum Disorders (ASD). The purpose of this observational study ...
• The Role of context in defining play

  Crowell, Ciera; Mora Guiard, Joan; Parés, Narcís, 1966- (ACM Association for Computer Machinery, 2018)

  When players enter into an interactive game setting, they undertake a process of discovery and subsequent distinguishing of the rules and goals which will prevail in the play context. However, this process of forming ...
• Recognizing musical entities in user-generated content

  Porcaro, Lorenzo; Saggion, Horacio (Computing Research Center (CIC-IPN), 2019)

  Recognizing Musical Entities is important for Music Information Retrieval (MIR) since it can improve the performance of several tasks such as music recommendation, genre classification or artist similarity. However, ...
• Variations between perceptions of interpersonal distance in virtual environments for autism

  Crowell, Ciera; Parés, Narcís, 1966- (ACM Association for Computer Machinery, 2018)

  Interpersonal distance is defined as the area which we choose to keep between ourselves and others, revealed through observation and cultural components. Although previous studies have suggested the possibility of alterations ...
• Analysis of spherical isotropic noise fields with an A-Format tetrahedral microphone

  Stefanakis, Nikolaos (Acoustical Society of America, 2019)

  Several applications in spatial audio signal processing benefit from the knowledge of the diffuseness of the sound field. In this paper, several experiments are performed to determine the response of a tetrahedral microphone ...
• Mindful engineers in sustainable engineering

  Basart i Muñoz, Josep M.; Farrús, Mireia; Serra, Montse (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  According to the Encyclopadia Britannica, the establishment of the Royal Society of London for Improving Natural Knowledge (Royal Society), the "oldest national scientific society in the world," was on November 28, 1660. ...

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