Essentia.js
Essentia.js is a Javascript version of the Open Source C++ and Python library for audio information developed and
I am exploring speech processing techniques for identification of vocal biomarkers from health applications. Specifically, I am studying the changes induced by stress situations in the voice production system, describing them using the source-filter model. I aim at understanding how the human vocal apparatus is affected by stress and characterise the variations to through Glottal Source and Vocal Tract Filter features.
Leveraging this knowledge, I will train explainable AI models essential towards achieving a system that helps users and practitioners monitor daily life stress from speech. In addition, this non-invasive approach may become instrumental to prevent long term exposure to stress and the early detection of related health events.
Researching identification of vocal biomarkers for mental health applications through speech processing techniques and Deep Learning, aiming for explainable and interpretable models.
HER La Salle - URL 2023 - PresentDuring my time at the MTG I collaborated in the development and evaluation of music of algorithms, inlcuded in the open-source library Essentia, for audio quality control and artifacts detection, publishing the results in the 146th AES Convention in Dublin in 2019. I also worked on the development, evaluation and publication of essentia.js the open-source software JavaScript library for music and audio analysis on the web, in 2021.
Music Technology Group 2018 - 2022I started working as a full-stack web developer and software engineer building my way up to a new role in the company according to my interests and education, working on Research and Development for audio and music projects.
SonoSuite 2017 - 2022Audio Electronics, Programming for Music Technology (Audio Plugins and Web Audio), Computer Composition and Sound Design, Recording, Live Music Production, Microprocessors, Acoustics and Psychoacoustics. Research Assistant under the supervision of Dr. Jonathan Wakefield and Mr. Christopher Dewey.
University of Huddersfield 2013 - 2017July 2023, Evaluation of Glottal Inverse Filtering Techniques on OPENGLOT Synthetic Male and Female Vowels
Marc Freixes, Luis Joglar-Ongay, Joan Claudi Socoró, and Francesc Alías-Pujol
Applied Sciences (Special Issue "IberSPEECH 2022 Speech and Language Technologies for Iberian Languages") 13(15), 8775
November 2021, Audio and Music Analysis on the Web using Essentia.js
Albin Andrew Correya, Jorge Marcos Fernández, Luis Joglar-Ongay, Pablo Alonso Jiménez, Xavier Serra, and Dmitry Bogdanov
Transactions of the International Society for Music Information Retrieval 2021 Volume 4 Issue 1 Page 167–181
October 2020, Essentia. js A JavaScript library for music and audio analysis on the web
Albin Andrew Correya, Dmitry Bogdanov, Luis Joglar-Ongay, and Xavier Serra
Proceedings of the 21st International Society for Music Information Retrieval Conference
March 2019, Automatic detection of audio problems for quality control in digital music distribution
Pablo Alonso-Jiménez, Luis Joglar-Ongay, Xavier Serra, and Dmitry Bogdanov
Audio Engineering Society Convention 146 Paper Number 10205, Poster Session 4
May 2017, Gestural Music Expression Application using smartphone’s embedded sensors in Android
Luis Joglar-Ongay
B.Sc. Music Technology and Audio Systems
July 2021, Introduction to Music Information Retrieval using Essentia.js
Albin Correya, Dmitry Bogdanov, Luis Joglar-Ongay, Jorge Marcos-Fernández
Proceedings of the International Web Audio Conference
December 2019, Essentia in the browser
Luis Joglar-Ongay, Albin Correya, Pablo Alonso-Jiménez, Xavier Serra and Dmitry Bogdanov
Proceedings of the International Web Audio Conference 114-115
May 2016, Implementation of Faster than Real Time Audio Analysis for Use with Web Audio API An FFT Case Study
Luis Joglar-Ongay, Christopher Dewey, and Jonathan Wakefield
Audio Engineering Society Convention 140
I also love playing bass and composing and producing music. During my B.Sc. degree I studied Popular Music recording, mixing and production.
Essentia.js is a Javascript version of the Open Source C++ and Python library for audio information developed and
My project aims to achieve objective measures of a person’s emotional and mental state through voice analysis and processing. This technology could be applied to a system f
The Web Audio Conference is an international conference that congregates the communitty interested in pushing further the web audio
I had the opportunity to present a workshop in Sónar+D CCCB 2020 about how to use Essentia.js to automatically detect quality problems in a music collection.