Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About
Download Photo HD

About

Gilberto Bernardes has a multifaceted activity as a musician, professor, and researcher in sound and music computing. He holds a Ph.D. in digital media from the University of Porto and a Master of Music, cum laude, from the Amsterdamse Hogeschool voor de Kunsten. His research agenda focuses on sampling-based synthesis techniques and pitch spaces, whose findings have been reported in over 60 scientific publications. His artistic activity counts with regular concerts in venues with recognized merit, such as Asia Culture Center (Korea); New York University (USA); Concertgebouw (Holland); and Casa da Música (Portugal). Bernardes is currently an Assistant Professor at the University of Porto and a senior researcher at INESC TEC.

Interest
Topics
Details

Details

002
Publications

2021

NINJA TURTLES RACE: A REACTION TIME TEST TO STUDY AND ASSESS THE FOCUS OF ATTENTION, MOTOR, AND COGNITIVE SKILLS IN CHILDREN'S LEARNING PROCESSES

Authors
Sousa, D; Coelho, A; Bernardes, G; Correia, N;

Publication
INTED2021 Proceedings

Abstract

2021

SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structures

Authors
Carvalho, N; Bernardes, G;

Publication
Artificial Intelligence in Music, Sound, Art and Design - Lecture Notes in Computer Science

Abstract

2020

Objective Evaluation of Tonal Fitness for Chord Progressions Using the Tonal Interval Space

Authors
Cáceres, MN; Caetano, MF; Bernardes, G;

Publication
Artificial Intelligence in Music, Sound, Art and Design - 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings

Abstract
Chord progressions are core elements of Western tonal harmony regulated by multiple theoretical and perceptual principles. Ideally, objective measures to evaluate chord progressions should reflect their tonal fitness. In this work, we propose an objective measure of the fitness of a chord progression within the Western tonal context computed in the Tonal Interval Space, where distances capture tonal music principles. The measure considers four parameters, namely tonal pitch distance, consonance, hierarchical tension and voice leading between the chords in the progression. We performed a listening test to perceptually assess the proposed tonal fitness measure across different chord progressions, and compared the results with existing related models. The perceptual rating results show that our objective measure improves the estimation of a chord progression’s tonal fitness in comparison with existing models. © Springer Nature Switzerland AG 2020.

2020

Physics-based Concatenative Sound Synthesis of Photogrammetric models for Aural and Haptic Feedback in Virtual Environments

Authors
Magalhaes, E; Jacob, J; Nilsson, N; Nordahl, R; Bernardes, G;

Publication
Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

Abstract
We present a novel physics-based concatenative sound synthesis (CSS) methodology for congruent interactions across physical, graphical, aural and haptic modalities in Virtual Environments. Navigation in aural and haptic corpora of annotated audio units is driven by user interactions with highly realistic photogrammetric based models in a game engine, where automated and interactive positional, physics and graphics data are supported. From a technical perspective, the current contribution expands existing CSS frameworks in avoiding mapping or mining the annotation data to real-time performance attributes, while guaranteeing degrees of novelty and variation for the same gesture. © 2020 IEEE.

2020

A Computational Model of Tonal Tension Profile of Chord Progressions in the Tonal Interval Space

Authors
Navarro Caceres, M; Caetano, M; Bernardes, G; Sanchez Barba, M; Sanchez Jara, JM;

Publication
Entropy

Abstract
In tonal music, musical tension is strongly associated with musical expression, particularly with expectations and emotions. Most listeners are able to perceive musical tension subjectively, yet musical tension is difficult to be measured objectively, as it is connected with musical parameters such as rhythm, dynamics, melody, harmony, and timbre. Musical tension specifically associated with melodic and harmonic motion is called tonal tension. In this article, we are interested in perceived changes of tonal tension over time for chord progressions, dubbed tonal tension profiles. We propose an objective measure capable of capturing tension profile according to different tonal music parameters, namely, tonal distance, dissonance, voice leading, and hierarchical tension. We performed two experiments to validate the proposed model of tonal tension profile and compared against Lerdahl’s model and MorpheuS across 12 chord progressions. Our results show that the considered four tonal parameters contribute differently to the perception of tonal tension. In our model, their relative importance adopts the following weights, summing to unity: dissonance (0.402), hierarchical tension (0.246), tonal distance (0.202), and voice leading (0.193). The assumption that listeners perceive global changes in tonal tension as prototypical profiles is strongly suggested in our results, which outperform the state-of-the-art models.

Supervised
thesis

2020

Multi-channel approaches for musical audio content analysis

Author
João Carlos Couto Antunes Fonseca

Institution
UP-FEUP

2020

Creative Support Musical Composition System: a study on Multiple Viewpoints Representations in Variable Markov Oracle

Author
Nádia de Sousa Varela de Carvalho

Institution
UP-FEUP

2020

Gamified Interfaces as a means to motivate exploration and comprehension of Musical Genres

Author
Miguel Feliciano da Cunha Oliveira Duarte

Institution
UP-FEUP

2020

A Sintaxe Harmónica Atonal no Espaço de Fourier: Para Uma Representação Esférica das Fases

Author
Samuel Filipe da Silva Pereira

Institution
UP-FEUP

2020

Geração de ambientes sonoros imersivos e não-lineares a partir de exemplos monofónicos

Author
Catarina Mendes Cruz

Institution
UP-FEUP