Browsing by Author "Gómez Cañón, Juan Sebastián"

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  • Cross-dataset music emotion recognition: an end-to-end approach
    Pandrea, Ana Gabriela; Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964- (International Society for Music Information Retrieval, 2020)
    The topic of Music Emotion Recognition (MER) evolved as music is a fascinating expression of emotions, yet it faces challenges given its subjectivity. Because each language has its particularities in terms of sound and ...
  • Emotion annotation of music: a citizen science approach
    Gutiérrez Páez, Nicolás Felipe; Gómez Cañón, Juan Sebastián; Porcaro, Lorenzo; Santos Rodríguez, Patrícia; Hernández Leo, Davinia; Gómez Gutiérrez, Emilia, 1975- (Springer, 2021)
    The understanding of the emotions in music has motivated research across diverse areas of knowledge for decades. In the field of computer science, there is a particular interest in developing algorithms to “predict” the ...
  • Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification
    Gómez Cañón, Juan Sebastián; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2020)
    Tagging a musical excerpt with an emotion label may result in a vague and ambivalent exercise. This subjectivity entangles several high-level music description tasks when the computational models built to address them ...
  • Music emotion recognition: toward new, robust standards in personalized and context-sensitive applications
    Gómez Cañón, Juan Sebastián; Cano, Estefanía; Eerola, Tuomas; Herrera Boyer, Perfecto, 1964-; Hu, Xiao; Yang, Yi-Hsuan; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Emotion is one of the main reasons why people engage and interact with music [1] . Songs can express our inner feelings, produce goosebumps, bring us to tears, share an emotional state with a composer or performer, or ...
  • Personalized musically induced emotions of not-so-popular Colombian music
    Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964-; Cano, Estefanía; Gómez Gutiérrez, Emilia, 1975- (NeurIPS, 2021)
    This work presents an initial proof of concept of how Music Emotion Recognition (MER) systems could be intentionally biased with respect to annotations of musically-induced emotions in a political context. In specific, ...
  • The Emotions that we perceive in music: the influence of language and lyrics comprehension on agreement
    Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975-; Cano, Estefanía (Durham University, 2019)
    In the present study, we address the relationship between the emotions perceived in pop and rock music (mainly in Euro-American styles with English lyrics) and the language spoken by the listener. Our goal is to ...
  • Transfer learning from speech to music: towards language-sensitive emotion recognition models
    Gómez Cañón, Juan Sebastián; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    In this study, we address emotion recognition using unsupervised feature learning from speech data, and test its transferability to music. Our approach is to pre-train models using speech in English and Mandarin, and then ...
  • TROMPA-MER: an open dataset for personalized music emotion recognition
    Gómez Cañón, Juan Sebastián; Gutiérrez Páez, Nicolás Felipe; Porcaro, Lorenzo; Porter, Alastair; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gkiokas, Aggelos; Santos Rodríguez, Patrícia; Hernández Leo, Davinia; Karreman, Casper; Gómez Gutiérrez, Emilia, 1975- (Springer, 2023)
    We present a platform and a dataset to help research on Music Emotion Recognition (MER). We developed the Music Enthusiasts platform aiming to improve the gathering and analysis of the so-called “ground truth” needed as ...

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