World's Best Scientists 2026 revealed!
Perfecto Herrera

Perfecto Herrera

D-Index & Metrics

Computer Science

D-Index
40
Citations
6406
World Ranking
9339
National Ranking
144

Overview

Perfecto Herrera is affiliated with Pompeu Fabra University in Spain and has contributed extensively to the field of computer science, with a specific focus on music and audio processing. Their research encompasses areas such as signal processing, cognitive neuroscience, computer vision, artificial intelligence, and music.

The scientist's work often intersects with diverse topics including music and audio processing, neuroscience and music perception, music technology and sound studies, speech and audio processing, diverse musicological studies, emotion and mood recognition, and animal vocal communication and behavior.

Recent publications include:

  • Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications, 2021, IEEE Signal Processing Magazine
  • TROMPA-MER: an open dataset for personalized music emotion recognition, 2022, Journal of Intelligent Information Systems
  • Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • TROMPA-MER: an open dataset for personalized Music Emotion Recognition, 2022, Research Square (Research Square)

Frequent coauthors with whom they have collaborated include:

  • Juan Sebastián Gómez-Cañón
  • Estefanía Cano
  • Emília Gómez
  • Daniel Gómez-Marín
  • Sergi Jordà

Publication venues regularly featuring their work are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Signal Processing Magazine
  • Transactions of the International Society for Music Information Retrieval
  • Journal of Intelligent Information Systems
  • Research Square (Research Square)

Their research contributions span 21 publications primarily classified under computer science, emphasizing 13 publications in signal processing, 6 in cognitive neuroscience, 5 in computer vision and pattern recognition, 3 under artificial intelligence, and 3 related to music. This distribution highlights a cross-disciplinary approach towards understanding and developing technology related to music and audio analysis.

Best Publications

  • Essentia: An Audio Analysis Library for Music Information Retrieval.

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification

    J. Serra;E. Gomez;P. Herrera;X. Serra

  • Multimodal Music Mood Classification Using Audio and Lyrics

    C. Laurier;J. Grivolla;P. Herrera

  • A new approach to evaluating novel recommendations

    Òscar Celma;Perfecto Herrera

  • The roles of superficial amygdala and auditory cortex in music-evoked fear and joy.

    Stefan Koelsch;Stefan Koelsch;Stavros Skouras;Stavros Skouras;Thomas Fritz;Perfecto Herrera

  • Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012

    F. Gouyon;Perfecto Herrera;L. G. Martins;M. Müller

  • MUSIC MOOD REPRESENTATIONS FROM SOCIAL TAGS

    Cyril Laurier;Mohamed Sordo;Joan Serrà;Perfecto Herrera

  • Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond

    Joan Serrà;Emilia Gómez;Perfecto Herrera

  • Semantic audio content-based music recommendation and visualization based on user preference examples

    Dmitry Bogdanov;MartíN Haro;Ferdinand Fuhrmann;Anna Xambó

  • Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques

    Perfecto Herrera;Alexandre Yeterian;Fabien Gouyon

  • Instrument Sound Description in the Context of MPEG-7

    Geoffroy Peeters;Stephen McAdams;Perfecto Herrera

  • ESSENTIA: an open-source library for sound and music analysis

    Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati

  • Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies

    Emilia Gómez;Perfecto Herrera

  • A COMPARISON OF SOUND SEGREGATION TECHNIQUES FOR PREDOMINANT INSTRUMENT RECOGNITION IN MUSICAL AUDIO SIGNALS

    Juan J. Bosch;Jordi Janer;Ferdinand Fuhrmann;Perfecto Herrera

  • Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications

    Juan Sebastia Gomez-Canon;Estefania Cano;Tuomas Eerola;Perfecto Herrera

  • Foafing the music: A music recommendation system based on RSS feeds and user preferences

    Òscar Celma;Miquel Ramírez;Perfecto Herrera

  • Unifying Low-Level and High-Level Music Similarity Measures

    D. Bogdanov;J. Serra;N. Wack;P. Herrera

  • ISMIR 2004 Audio Description Contest

    Pedro Cano;Emilia Gómez;Fabien Gouyon;Perfecto Herrera

  • Automatic labeling of unpitched percussion sounds

    P. Herrera;Amaury Dehamel;Fabien Gouyon

  • Roadmap for Music Information ReSearch

    Xavier Serra;Michela Magas;Emmanouil Benetos;Magdalena Chudy

  • Vibrato Extraction and Parameterization in the Spectral Modeling Synthesis framework

    Perfecto Herrera;J. Bonada

Frequent Co-Authors

Emilia Gómez
Emilia Gómez Pompeu Fabra University
Xavier Serra
Xavier Serra Pompeu Fabra University
Justin Salamon
Justin Salamon Adobe Systems (United States)
Massimiliano Zanin
Massimiliano Zanin University of the Balearic Islands
Gerhard Widmer
Gerhard Widmer Johannes Kepler University of Linz
Stefan Koelsch
Stefan Koelsch University of Bergen
François Pachet
François Pachet Sorbonne University
Stephen McAdams
Stephen McAdams McGill University
Arthur M. Jacobs
Arthur M. Jacobs Freie Universität Berlin
Mark Sandler
Mark Sandler Google (United States)

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