Browsing by Author "Gómez Gutiérrez, Emilia, 1975-"

Sort by: Order: Results:

  • BAT: An open-source, web-based audio events annotation tool
    Meléndez Catalán, Blai; Molina, Emilio; Gómez Gutiérrez, Emilia, 1975- (2017)
    In this paper we present BAT (BMAT Annotation Tool), an open-source, web-based tool for the manual annotation of events in audio recordings developed at BMAT (Barcelona Music and Audio Technologies1). The main feature ...
  • 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 ...
  • Cante Flamenco Tech: aprendizaje del cante con la ayuda de la tecnología
    Gómez Gutiérrez, Emilia, 1975-; Guerrero, Alba; Rodríguez, Sonia (2018)
    Cante Flamenco Tech es un proyecto pedagógico cuyo objetivo es el de generar materiales docentes online para el aprendizaje del cante flamenco, siguiendo un énfasis tecnolégico. Para ello, el proyecto integra las tecnologías ...
  • Child-robot collaborative problem-solving and the importance of child's voluntary interaction: a developmental perspective
    Charisi, Vicky; Gómez Gutiérrez, Emilia, 1975-; Mier, Gonzalo; Merino, Luis; Gomez, Randy (Frontiers, 2020)
    The emergence and development of cognitive strategies for the transition from exploratory actions towards intentional problem-solving in children is a key question for the understanding of the development of human cognition. ...
  • Chroma binary similarity and local alignment applied to cover song identification
    Serrà Julià, Joan; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964-; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2008)
    We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song ...
  • Combining musical features for cover detection
    Doras, Guillaume; Yesiler, Furkan; Serrà Julià, Joan; Gómez Gutiérrez, Emilia, 1975-; Peeters, Geoffroy (International Society for Music Information Retrieval (ISMIR), 2020)
    Recent works have addressed the automatic cover detection problem from a metric learning perspective. They employ different input representations, aiming to exploit melodic or harmonic characteristics of songs and yield ...
  • Comparative analysis of music recordings from western and non-western traditions by automatic tonal feature extraction
    Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (Ohio State University School of Music, 2008)
    The automatic analysis of large musical corpora by means of computational models overcomes some limitations of manual analysis, and the unavailability of scores for most existing music makes necessary to work with audio ...
  • Comparative evaluation and combination of automatic rhythm description systems
    Zapata González, José Ricardo (Universitat Pompeu Fabra, 2013-09-19)
    The automatic analysis of musical rhythm from audio, and more specifically tempo and beat tracking, is one of the fundamental open research problems in Music Information Retrieval (MIR) research. Automatic beat tracking ...
  • Conditioned source separation for musical instrument performances
    Slizovskaia, Olga; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    In music source separation, the number of sources may vary for each piece and some of the sources may belong to the same family of instruments, thus sharing timbral characteristics and making the sources more correlated. ...
  • Content based singing voice extraction from a musical mixture
    Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We present a deep learning based methodology for extracting the singing voice signal from a musical mixture based on the underlying linguistic content. Our model follows an encoder-decoder architecture and takes as input ...
  • Content processing of music audio signals
    Gouyon, Fabien; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975-; Cano Vila, Pedro; Bonada, Jordi, 1973-; Loscos, Àlex; Amatriain, Xavier; Serra, Xavier (Logos Verlag, 2008)
    In this chapter, we provide an overview of state-of-the-art algorithms for the automatic description of music audio signals, both from a low-level perspective (focusing on signal characteristics) and a more musical perspective ...
  • Content-based music recommendation based on user preference examples
    Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (CEUR Workshop Proceedings, 2010)
    Recommending relevant and novel music to a user is one of the central applied problems in music information research. In the present work we propose three content-based approaches to this task. Starting from an explicit ...
  • A Content-based system for music recommendation and visualization of user preferences working on semantic notions
    Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Xambó, Anna; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    The amount of digital music has grown unprecedentedly during the last years and requires the development of effective methods for search and retrieval. In particular, contentbased preference elicitation for music recommendation ...
  • Correspondence between audio and visual deep models for musical instrument detection in video recordings
    Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (International Society for Music Information Retrieval (ISMIR), 2017)
    This work aims at investigating cross-modal connections between audio and video sources in the task of musical instrument recognition. We also address in this work the understanding of the representations learned by ...
  • Cough-based COVID-19 detection with contextual attention convolutional neural networks and gender information
    Mallol Ragolta, Adrià; Cuesta, Helena; Gómez Gutiérrez, Emilia, 1975-; Schuller, Björn (International Speech Communication Association (ISCA), 2021)
    The aim of this contribution is to automatically detect COVID19 patients by analysing the acoustic information embedded in coughs. COVID-19 affects the respiratory system, and, consequently, respiratory-related signals ...
  • 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 ...
  • Data-driven musical version identification: accuracy, scalability and bias perspectives
    Yesiler, M. Furkan (Universitat Pompeu Fabra, 2022-01-12)
    This dissertation aims at developing audio-based musical version identification (VI) systems for industry-scale corpora. To employ such systems in industrial use cases, they must demonstrate high performance on large-scale ...
  • Data-driven pitch content description of choral singing recordings
    Cuesta, Helena (Universitat Pompeu Fabra, 2022-03-21)
    Ensemble singing is a well-established practice across cultures, found in a great diversity of forms, languages, and levels. However, it has not been widely studied in the field of Music Information Retrieval (MIR), likely ...
  • A deep learning based analysis-synthesis framework for unison singing
    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 ...
  • Deep learning based source separation applied to choir ensembles
    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, ...