I am a Tenured Scientist in Experimental and Applied Phonetics at the CSIC, and Director of the CSIC Phonetics Laboratory. I currently lead the research project WAV: The WAves (and wrinkles) of our Voice and serve as Editor-in-Chief of the journal Loquens.
I have completed three research stays in renowned phonetics labs: at the University of Marburg (2012), the University of Zurich (2017), and the National Institute of Informatics in Tokyo (2025). In Marburg, I developed an important section of my dissertation: the analysis of identical twins’ voices using an automatic speech recognition (ASR) system. In Zurich, with funding from the Swiss National Science Foundation, I made key scientific contributions to the study of rhythm and prosody, which resulted in several publications and conference presentations. More recently, in Tokyo, with funding from the Spanish National Research Council (CSIC) through its Ayudas para la Incorporación de Científicos Titulares programme, I conducted an experiment on human perception of voice deepfakes. This research has led to a recent co-authored publication with researchers from the Japanese institution, as well as several conference presentations.
I have been a member of the International Association for Forensic Phonetics and Acoustics (IAFPA) since 2010. I have also organized its annual conference twice and twice received funding through its annual call for pilot research projects: in 2011, to study the voices of twins, and in 2016, to investigate voice quality practices. In addition, I have given around 20 invited talks in 10 different countries
I have organized and participated in a range of science outreach and public engagement activities, such as the Week of Science (2012, 2021 and 2026) and an interview for the popular science magazine QUO. I have also participated in a radio show on La Ventana, Cadena SER, and in a roundtable on fake news and misinformation organized by the Agencia Estatal de Investigación. In addition, I have written an article for The Conversation. Four of my publications, including my thesis, are mentioned in the Best Practice Manual for the Methodology of Forensic Speaker Comparison, published by the European Network of Forensic Science Institutes.
I worked as linguistic consultant (2018-20) at the technological company Defined.ai, in several projects aimed at improving the quality of machine learning systems, which led to the signature of a transfer contract (“Artículo 83”) with UNED from 2021 to 2023.
I have supervised undergraduate and master’s theses at UNED and the Complutense University of Madrid. Since 2024, as a Tenured Scientist at the CSIC, I have supervised four JAE-Intro students and a PhD student in the MOMENTUM programme. I have also contributed to the career development of my first JAE-Intro student, who currently holds a research and development technical staff contract.
PhD in Speech Sciences, 2014
Spanish National Research Council (CSIC), Madrid, Spain
MSc in Quantitative Research Methodology & Statistics Techniques, 2010
Statistics Laboratory, Higher Technical School of Industrial Engineering, Polytechnical University of Madrid, Spain
MA in Phonetics & Phonology, 2009
Spanish National Research Council (CSIC), Madrid, Spain
BA in Hispanic Studies, 2008
University of Salamanca, Spain
BA in English Studies, 2007
University of Salamanca, Spain
Research project funded by the Spanish Ministry of Science and Innovation
Teaching Innovation Project aimed at promoting students’ motivation, participation and performance improvement
Research project funded by the Spanish Ministry of Science and Innovation
Teaching Innovation Project implementing problem-based learning methods to Applied Linguistics (Forensic Linguistics, Clinical Linguistics)
International project at the Shanxi Police College (Taiyuan, China)
SNSF project aimed at testing whether perceptual ratings for vocal tract tension correlate with prosodic-acoustic measures.
IAFPA project aimed at providing a simplified, yet reliable and validated, perceptual protocol that could be used by forensic phoneticians to describe a speaker in terms of his/her voice quality, and/or when required to compare two or more voices using an auditory approach.
Arts & Humanities Research Council (AHRC) project
IAFPA project aimed at investigating the usefulness of analyzing speech samples of adult male Spanish siblings and twins (identical and fraternal), with a focus on analyzing formant trajectories in vocalic sequences.
University of New South Wales project funded by the Intelligence Advanced Research Projects Activity (IARPA), through the Army Research Laboratory (ARL)
Research project funded by the Spanish Ministry of Science and Innovation
I collaborated in several projects, mainly aimed at improving the quality of the Vocalizer TTS product of Nuance Communications Inc., providing verified phonetic transcriptions of music and news items, researching the pronunciation of new words and correcting transcriptions for words that failed the automatic-system checks and manual quality checks.
Responsibilities included:
Main skills:
Doctor Europaeus - Thesis: “Forensic speaker comparison of Spanish twins and non-twin siblings: A phonetic-acoustic analysis of formant trajectories in vocalic sequences, glottal source parameters and cepstral characteristics”
Achievements: - Largest twin data collection to date in Spanish (54 subjects, 108 hours). - Developed strong managerial and statistical skills. - Self-managed with minimal direction: responsible for all the logistics regarding equipment, participant identification and performing the data collection. - Tested different approaches to speaker ID: acoustic and semi-automatic analyses (ASR system output evaluation).
Main skills: - Strong analytical skills - Attention to detail - Excellent written communication skills - Ability to grasp technical concepts (collaboration with engineers and software developers: co-authors in my main publications) - Hands-on testing of several in-house tools (Biometrics software); monitored debugging process results - Knowledge of curve fitting methods and use of Bayesian data analysis.