fergarciadlc

Fernando Garcia de la Cruz

Ingeniero de investigación, procesamiento de señal y machine learning para audio y música

Barcelona, España

Algunas entradas de esta página solo están disponibles en inglés.

Experiencia

  1. Independent practice

    Ingeniero de investigación

    ago 2026 – actualidadBarcelona

  2. Sony Computer Science Laboratories (CSL)

    Research Scientist Intern

    may 2026 – jul 2026Paris

    • Machine learning and signal processing research for music and audio applications.

  3. Music Technology Group, Universitat Pompeu Fabra

    Research Assistant, IA y Música: Cátedra ENIA 2022 (TSI-100929-2023-1)

    Marzo–julio de 2025 y enero–abril de 2026Barcelona

    • Research on detecting and quantifying AI-generated music in real broadcast monitoring scenarios, in collaboration with BMAT Music Innovators; published as two papers at ISMIR 2026.
    • Data pipelines and ML workflows: integrating multiple AI music generators, improving automated audio reference pipelines, and training detection models on real-world data.
    • Integrated the Essentia library into real-time audio plug-ins with JUCE; led the essentia-plugins repository.
    • Project funded by the Spanish Ministry for Digital Transformation and the Civil Service, with European Commission participation.

  4. Dolby Laboratories

    Software Developer, Entertainment Tech (internship)

    mar 2025 – ago 2025

    • C and C++ libraries for audio and signal processing for internal use.
    • Audio plug-in development and internal research projects using AI models.

  5. Ear Candy Technologies

    Audio Developer, DSP Engineer

    ago 2022 – mar 2025

  6. Globant

    Python Data Engineer, Data & Artificial Intelligence Studio

    sept 2021 – sept 2024

  7. Everis

    Python Engineer, Data & Analytics

    ene 2021 – sept 2021

Formación

  1. MSc Sound and Music Computing

    Universitat Pompeu Fabra, Music Technology Group

    sept 2024 – 2026Barcelona

  2. Ingeniería en Comunicaciones y Electrónica, especialidad en acústica

    Instituto Politécnico Nacional (ESIME)

    ene 2015 – nov 2019Mexico City

Publicaciones

  1. How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures

    F. Garcia de la Cruz, D. López-Ayala, P. Zinemanas, E. Molina, M. Rocamora

    International Society for Music Information Retrieval Conference2026

  2. Assessing AI-Generated Music Detection in Real-World Broadcast Monitoring

    D. López-Ayala, F. Garcia de la Cruz, P. Zinemanas, E. Molina, M. Rocamora

    International Society for Music Information Retrieval Conference2026

  3. From Words to Sound: Neural Audio Synthesis of Guitar Sounds with Timbral Descriptors

    The Sound of AI Community

    3rd Conference on AI Music Creativity2022

Docencia y comunidad

  • Music Technology Group, UPF

    Teaching assistant, Generative Music AI workshop

    2025 – actualidad

  • The Sound of AI

    Assistant director of the first Sound of AI Accelerator, a startup programme in music and audio AI

    abr 2023 – jul 2023

  • The Sound of AI

    Organiser and participant, first Sound of AI Hackathon; my team built Modelizer

    jul 2022

  • The Sound of AI

    Project manager, Open Source Research project (200+ contributors), co-author of the AIMC 2022 paper

    sept 2022

  • Ciencia desde Cero

    Science communicator

    ago 2017 – ene 2023

  • Guit-Art Music School

    Guitar teacher and audio engineer

    nov 2013 – jun 2019

Competencias técnicas

Audio y DSP
JUCE (C++), Essentia, Pure Data, Matlab
Lenguajes
Python, C/C++, Go, Cmajor, Matlab
Machine learning
PyTorch, TensorFlow, Keras, scikit-learn, librosa, torchaudio
Ingeniería de datos
Apache Beam, Airflow, Kafka, Spark
Cloud y DevOps
GCP, Docker, Kubernetes, Jenkins, Travis CI
Bases de datos
PostgreSQL, MySQL, BigQuery, MongoDB
Web y APIs
FastAPI, Flask, Django

Idiomas

Español
Nativo
Inglés
Fluido, nivel profesional