• The Sense of ensemble: a machine learning approach to expressive performance modelling in string quartets

  Marchini, Marco, 1984-; Ramírez, Rafael,1966-; Maestre Gómez, Esteban (Taylor & Francis (Routledge), 2014)

  Computational approaches for modelling expressive music performance have produced systems that emulate music expression, but few steps have been taken in the domain of ensemble performance. In this paper, we propose a novel ...
• A whole-brain computational modeling approach to explain the alterations in resting-state functional connectivity during progression of Alzheimer's disease

  Demirtaş, Murat; Falcón, Carles; Tucholka, Alan; Domingo Gispert, Juan; Molinuevo, José Luis; Deco, Gustavo (Elsevier, 2017)

  Alzheimer's disease (AD) is the most common dementia with dramatic consequences. The research in structural and functional neuroimaging showed altered brain connectivity in AD. In this study, we investigated the whole-brain ...
• An analysis of agreement in classical music perception and its relationship to listener characteristics

  Schedl, Markus; Eghbal-Zadeh, Hamid; Gómez Gutiérrez, Emilia, 1975-; Tkalcic, Marko (International Society for Music Information Retrieval (ISMIR), 2016)

  We present a study, carried out on 241 participants, which investigates on classical music material the agreement of listeners on perceptual music aspects (related to emotion, tempo, complexity, and instrumentation) and ...
• Immersive orchestras: Audio processing for orchestral music VR content

  Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975-; Martorell Domínguez, Agustín; Miron, Marius; de Wit, Benjamin (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  This paper combines Audio Signal Processing and Virtual Reality (VR) content to create novel immersive experiences for orchestral music audiences. In VR, the auralization of sound sources of recorded live content remains ...
• Becoming the maestro - A game to enhance curiosity for classical music

  Sarasúa Berodia, Álvaro; Melenhorst, Mark; Fernandez Julià, Carles, 1984-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  Classical music is associated with a set of social and cognitive barriers that prevent potentially interested novice classical music listeners from attending concerts. The possible strategies to overcome these barriers and ...
• An interactive software instrument for real-time rhythmic concatenative synthesis

  Ó Nuanáin, Cárthach; Jordà Puig, Sergi; Herrera Boyer, Perfecto (International Conference on New Interfaces for Musical Expression (NIME), 2016)

  In this paper we describe an approach for generating and visualising new rhythmic patterns from existing audio in real-time using concatenative synthesis. We introduce a graph-based model enabling novel visualisation and ...
• Improving audio retrieval through loudness profile categorization

  Parekh, Sanjeel; Font Corbera, Frederic; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  The increasing popularity of audio content sharing in online platforms requires the development of techniques to better organize and retrieve this data. In this paper we look at how to improve similarity search through ...
• Drumming with style: from user needs to a working prototype

  Jordà Puig, Sergi; Gómez Marín, Daniel; Faraldo Pérez, Ángel; Herrera Boyer, Perfecto (International Conference on New Interfaces for Musical Expression (NIME), 2016)

  This paper documents and discusses the process of developing a generative drumming agent built from the results of an extensive survey carried out with electronic music producers. Following the techniques of user-centered ...
• The MediaEval 2017 AcousticBrainz genre task: content-based music genre recognition from multiple sources

  Urbano, Julián; Bogdanov, Dmitry; Porter, Alastair; Urbano, Julián; Schreiber, Hendrik (2017)

  This paper provides an overview of the AcousticBrainz Genre Task organized as part of the MediaEval 2017 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition ...
• Quantifying music tends and facts using editorial metadata from the Discogs database

  Bogdanov, Dmitry; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)

  While a vast amount of editorial metadata is being actively gathered and used by music collectors and enthusiasts, it is often neglected by music information retrieval and musicology researchers. In this paper we propose ...
• Data augmentation for deep learning source separation of HipHop songs

  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 ...
• Quantitative analysis of the relationship between linguistic tones and melody in jingju using music scores

  Caro Repetto, Rafael; Zhang, Shuo; Serra, Xavier (2017)

  When lyrics of tonal languages are set to music, the pitch contour of the tones has to agree to a certain extent with the melodic contour to assure intelligibility. The relationship between the linguistic tones of the ...
• Informed automatic meter analysis of music recordings

  Srinivasamurthy, Ajay; Holzapfel, Andre; Serra, Xavier (International Society for Music Information Retrieval, 2017)

  Automatic meter analysis aims to annotate a recording of a metered piece of music with its metrical structure. This analysis subsumes correct estimation of the type of meter, the tempo, and the alignment of the metrical ...
• Bird song synthesis based on hidden Markov models

  Bonada, Jordi, 1973-; Lachlan, Robert; Blaauw, Merlijn (International Speech Communication Association (ISCA), 2016)

  This paper focuses on the synthesis of bird songs using Hidden Markov Models (HMM). This technique has been widely used for speech modeling and synthesis. However, features and contextual factors typically used for human ...
• Applying spectral normalisation and efficient envelope estimation and statistical transformation for the voice conversion challenge 2016

  Villavicencio, Fernando; Yamagishi, Junichi; Bonada, Jordi, 1973-; Espic, Felipe (International Speech Communication Association (ISCA), 2016)

  In this work we present our entry for the Voice Conversion Challenge 2016, denoting new features to previous work on GMM-based voice conversion. We incorporate frequency warping and pitch transposition strategies to perform ...
• A method for structural analysis of Ottoman-Turkish Makam music scores

  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 ...
• Automatic alignment of long syllables in a cappella Beijing opera

  Dzhambazov, Georgi Bogomilov; Yang, Yile; Caro Repetto, Rafael; Serra, Xavier (International Workshop on Folk Music Analysis, 2016)

  In this study we propose how to modify a standard approach for text-to-speech alignment to apply in the case of alignment of lyrics and singing voice. We model phoneme durations by means of a duration-explicit hidden Markov ...
• Towards user-tailored creative applications of concatenative synthesis in electronic dance music

  Ó Nuanáin, Cárthach; Jordà Puig, Sergi; Herrera Boyer, Perfecto (International Workshop on Musical Metacreation, 2016)

  The ecosystem of concatenative synthesis systems is large, diverse and oftentimes esoteric. In this article, we examine many of its key works, attempting to summarise, compare and categorise their characteristic traits. ...
• Rhythm spaces

  Gómez Marín, Daniel; Jordà Puig, Sergi; Herrera Boyer, Perfecto (International Workshop on Musical Metacreation, 2016)

  We present and discuss our view on rhythm spaces, as metaphors to visualize and interact with rhythms. We take advantage on existing research on alternative lowdimensional music spaces, music cognition, music interaction ...
• Phrase-based rāga recognition using vector space modeling

  Gulati, Sankalp; Serrà Julià, Joan; Ishwar, Vignesh; Sentürk, Sertan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  Automatic raga recognition is one of the fundamental computational tasks in Indian art music. Motivated by the way seasoned listeners identify ragas, we propose a raga recognition approach based on melodic phrases. Firstly, ...

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