Jorge Perianez-Pascual | i3 lab

MetrikaBox: An open framework for experimenting with audio classification

Thu, 28 Aug 2025 00:00:00 +0000

Beyond Spectrograms: Rethinking Audio Classification from EnCodec's Latent Space

Sun, 16 Feb 2025 00:00:00 +0000

i3lab at the Winter School on AI and SE in Doha, Qatar

Sun, 19 Jan 2025 00:00:00 +0000

From January 19 to 22, two members of i3lab, Pery and Emilio, participated in the Winter School on Artificial Intelligence and Software Engineering organized by the University of Doha for Science and Technology (UDST) in Doha, Qatar.

This event brought together experts, researchers, and professionals from around the world to discuss the latest advancements in Artificial Intelligence (AI) and Software Engineering (SE), two fundamental disciplines driving emerging technologies. Over four days of lectures, workshops, and hands-on sessions, participants explored key topics such as:

✅ Deep learning and generative models, with applications in computer vision, natural language processing, and content generation.

✅ AI-driven software development, focusing on new methodologies and tools to optimize the creation and maintenance of intelligent systems.

✅ Ethics and regulations in AI, a crucial topic in the responsible implementation of AI models in society.

✅ Integration of AI into critical software systems, including applications in healthcare, security, and industrial automation.

Beyond the academic and technical training, the Winter School provided i3lab with the opportunity to strengthen international collaborations, share experiences with fellow researchers, and explore new ideas for applying Artificial Intelligence in intelligent software development.

The visit to Doha also allowed participants to learn more about the local culture and Qatar’s rapidly growing innovation ecosystem, which is strongly investing in artificial intelligence and digital transformation.

We extend our gratitude to UDST for organizing such an outstanding event and to all speakers and attendees for the insightful discussions. Without a doubt, this experience will bring new perspectives and opportunities for research and development at i3lab.

💡 We keep pushing the boundaries at the intersection of AI and software engineering! 🚀🔬

If you’d like to learn more about our research lines in applying AI to software development, feel free to get in touch with us and we’ll share more details.

ADAPIMMA

Tue, 04 Jul 2023 11:31:59 +0200

Copyright management in Spain is an issue that has always been in the eye of the hurricane and that has aroused great controversy. Special mention deserves the management of copyrights of musical pieces. The SGAE (General Society of Authors and Publishers) monopolizes managing these rights. Copyright management is governed by the Intellectual Property Law, which in its wording from 1996, is somewhat vague regarding distribution criteria. The wording could be more precise. It needs to be clarified how the SGAE rates the issuing entities, such as the radio. In some cases, it is done by the billing volume of the issuing entity, applying a percentage. In other words, it is independent of the music used by the station, and, this being the case, there is no way to make a fair distribution among the authors who contribute that music. In other cases, estimates are made for the use of the music, and based on that, the management company bills. This can lead to situations where talented young authors with short and unconsolidated careers need to receive adequate rewards for their work and discourage them from continuing their careers in this field.

Precisely the objective of this project is to investigate the techniques that would allow the development of a system capable of i) discriminating the use made of music in radio media according to its cataloging in the new Intellectual Property Law (solution to the first problem) and ii ) associate the exact use made of the piece of music to its original author in order to make an equitable distribution of royalties (solution to the second problem). The development of this proposal would mean a significant innovation in the musical world that could be an essential source, not only of potential clients worldwide but also of international investments that allow the internationalization of the ICT model of Extremadura, both fundamental lines of the Employment axis, Entrepreneurship and Innovation of the Regional Green and Circular Economy Strategy, Extremadura 2030. Not surprisingly, due to its evolution and potential path in Extremadura, the ICT sector is an active pole of production of transversal technology and a motor for the establishment of software development companies, which can be considered green companies as they do not generate waste.

Results

The paper “A Hybrid Multidimensional Recommender System for Radio Programs”, published in the Elsevier’s “Expert Systems with Applications”, is a direct result of this project.

It’s source code is available in GitHub via two projects:

A demo is also available.

Metrikamedia at Conecta Empresas 2022 Forum

Thu, 24 Nov 2022 09:30:00 +0000

On Thursday, November 24, 2022, within the technological showroom Foro Conecta Empresas, Metrikamedia, a spin-off of the UEx, presents one of the technologies developed in its company. It is used to separate voice and music within radio broadcasts to facilitate their auditing by advertisers and monitoring companies. Visitors can try to identify a piece of music being played in the background while an announcer is speaking, demonstrating the usefulness of this platform.

Attendance at the event is free of charge, and no reservation is required. Take advantage of the opportunity to chat with those responsible for applying Artificial Intelligence techniques in real projects.

Deep Learning Music Generation

Mon, 03 Oct 2022 00:00:00 +0000

On November 3 and 4, as part of the Ph.D. Program in Computer Science at the University of Almeria, Roberto Rodríguez Echeverría, University of Extremadura, taught the course Generation of content and/or recognizable patterns using neural networks, with the participation of Jorge Periánez Pascual, MetrikaMedia.

For some time now, relying on artificial intelligence to help us in our daily work has ceased to be a dream and has become a reality. Every day we use machine learning models to suggest the next words we will type on our cell phones, to give just one example. What we would never have imagined is that this artificial intelligence would help us to create creative content such as code for our programs, images following textual descriptions, or, as we explained in this seminar, music", commented UEx professor Roberto Rodríguez Echeverría.

The content of the seminar was as follows:

Introduction to Deep Learning
Recurrent Networks and Transformers
Content Generation
Image Generation with Variational Autoencoders
Music Generation with LSTM and Transformers

This and other seminars are the results of the collaboration between the company and the University. From i3lab, one of the working groups of Quercus Software Engineering Group, we are committed to the training of new engineers in areas such as artificial intelligence and everything related to it, such as MLOps. Interested? Contact us and let’s talk.

A Hybrid Multidimensional Recommender System for Radio Programs

Sat, 20 Feb 2021 00:00:00 +0000

Testing challenges for NLP-intensive bots

Fri, 01 Jan 2021 00:00:00 +0000

Towards the optical character recognition of DSLs

Wed, 01 Jan 2020 00:00:00 +0000