World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7690
World Ranking
10090
National Ranking
161

Overview

Emilia Gómez is affiliated with Pompeu Fabra University in Spain and has a substantial body of work in computer science. Their research covers a range of subfields including signal processing, artificial intelligence, computer vision and pattern recognition, safety research, and music.

The scientist's work spans multiple main topics, with notable focus on:

  • Music and Audio Processing
  • Music Technology and Sound Studies
  • Ethics and Social Impacts of AI
  • Speech and Audio Processing
  • Neuroscience and Music Perception
  • Diverse Musicological Studies
  • Adversarial Robustness in Machine Learning

Emilia Gómez has published frequently in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Transactions of the International Society for Music Information Retrieval
  • Scientific Reports

Their most recent papers include the following titles:

  • "Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications" (2021) published in IEEE Signal Processing Magazine
  • "Futures of artificial intelligence through technology readiness levels" (2020) published in Telematics and Informatics
  • "Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging" (2022) published in Frontiers in Cardiovascular Medicine
  • "Does AI Qualify for the Job?" (2020) published in Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • "Social Media Use and adolescents' mental health and well-being: An umbrella review" (2024) published in Computers in Human Behavior Reports

Emilia Gómez collaborates regularly with several researchers, with the most frequent coauthors being:

  • Helena Cuesta
  • Lorenzo Porcaro
  • Songül Tolan
  • Carlos Castillo
  • Isabelle Hupont

Best Publications

  • Melody Extraction From Polyphonic Music Signals Using Pitch Contour Characteristics

    J. Salamon;E. Gomez

  • 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

  • Music Information Retrieval: Recent Developments and Applications

    Markus Schedl;Emilia Gómez;Julián Urbano

  • Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges

    Justin Salamon;Emilia Gomez;Daniel P. W. Ellis;Gael Richard

  • Melody Transcription From Music Audio: Approaches and Evaluation

    G.E. Poliner;D.P.W. Ellis;A.F. Ehmann;E. Gomez

  • Symbolic Representation of Musical Chords: A Proposed Syntax for Text Annotations.

    Christopher Harte;Mark B. Sandler;Samer A. Abdallah;Emilia Gómez

  • Monoaural Audio Source Separation Using Deep Convolutional Neural Networks

    Pritish Chandna;Marius Miron;Jordi Janer;Emilia Gómez

  • Tonal Description of Polyphonic Audio for Music Content Processing

    Emilia Gómez

  • 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

  • Timbre analysis of music audio signals with convolutional neural networks

    Jordi Pons;Olga Slizovskaia;Rong Gong;Emilia Gomez

  • 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

  • Melody Description and Extraction in the Context of Music Content Processing

    Emilia Gómez;Anssi Klapuri;Benoît Meudic

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

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

  • Audio Fingerprinting Concepts and Applications

    Pedro Cano;Eloi Batlle;Emilia Gómez;Leandro de C. T. Gomes

  • Artificial intelligence and music : open questions of copyright law and engineering praxis

    Bob L. T. Sturm;Maria Iglesias;Oded Ben-Tal;Marius Miron

  • Futures of artificial intelligence through technology readiness levels

    Fernando Martínez-Plumed;Emilia Gómez;José Hernández-Orallo

  • Musical genre classification using melody features extracted from polyphonic music signals

    Justin Salamon;Bruno Rocha;Emilia Gomez

  • Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks

    Songül Tolan;Annarosa Pesole;Fernando Martínez-Plumed;Enrique Fernández-Macías

  • Tonal representations for music retrieval: from version identification to query-by-humming

    Justin Salamon;Joan Serrà;Emilia Gómez

  • ISMIR 2004 Audio Description Contest

    Pedro Cano;Emilia Gómez;Fabien Gouyon;Perfecto Herrera

Frequent Co-Authors

Perfecto Herrera
Perfecto Herrera Pompeu Fabra University
Xavier Serra
Xavier Serra Pompeu Fabra University
Justin Salamon
Justin Salamon Adobe Systems (United States)
José Hernández-Orallo
José Hernández-Orallo Universitat Politècnica de València
Markus Schedl
Markus Schedl Johannes Kepler University of Linz
Carlos Castillo
Carlos Castillo Pompeu Fabra University
Juan Pablo Bello
Juan Pablo Bello New York University
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Björn Schuller
Björn Schuller Imperial College London
Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University

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