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2020 – today
- 2024
[c32]André Sales Mendes, Álvaro Lozano Murciego
, Luis Augusto Silva, Diego M. Jiménez-Bravo, María Navarro-Cáceres, Gilberto Bernardes:
Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision Language Models (VLMs). EPIA (1) 2024: 91-102- [c31]Gilberto Bernardes, Nádia Carvalho:
Modal Pitch Space: A Computational Model of Melodic Pitch Attraction in Folk Music. MCM 2024: 183-194 - [c30]Nádia Carvalho, Gilberto Bernardes:
Fourier (Common-Tone) Phase Spaces are in Tune with Variational Autoencoders' Latent Space. MCM 2024: 305-316 - [c29]Samuel Pereira, Giovanni Affatato, Gilberto Bernardes, Fabian C. Moss:
Fourier Qualia Wavescapes: Hierarchical Analyses of Set Class Quality and Ambiguity. MCM 2024: 317-329 - [c28]Juan José Navarro-Cáceres, Nádia Carvalho, Gilberto Bernardes, Diego M. Jiménez-Bravo, María Navarro-Cáceres:
Exploring Mode Identification in Irish Folk Music with Unsupervised Machine Learning and Template-Based Techniques. MCM 2024: 412-420 - 2023
- [j8]Gonçalo Bernardo, Gilberto Bernardes:
Leveraging compatibility and diversity in computer-aided music mashup creation. Pers. Ubiquitous Comput. 27(5): 1793-1809 (2023) - [c27]Nádia Carvalho, Daniel Diogo, Gilberto Bernardes:
Computational Similarity of Portuguese Folk Melodies Using Hierarchical Reduction. DLfM 2023: 22-29 - [c26]Jorge Forero, Mónica Mendes, Gilberto Bernardes:
En train d'oublier: toward affective virtual environments. KUI 2023: 2:1-2:6 - [c25]Zijing Cao, Eduardo Magalhães, Gilberto Bernardes:
Sound Design Impacts User Experience and Attention in Serious Game. JCSG 2023: 95-110 - [i3]Nádia Carvalho, Gilberto Bernardes:
Exploring Latent Spaces of Tonal Music using Variational Autoencoders. CoRR abs/2311.03621 (2023) - [i2]Jorge Forero, Gilberto Bernardes, Mónica Mendes:
Are Words Enough? On the semantic conditioning of affective music generation. CoRR abs/2311.03624 (2023) - 2022
- [j7]Alexandre Clément, Gilberto Bernardes:
Assessing the Influence of Multimodal Feedback in Mobile-Based Musical Task Performance. Multimodal Technol. Interact. 6(8): 68 (2022) - [c24]Christian Torresan, Gilberto Bernardes, Elsa Sá Caetano, Maria Teresa Restivo:
The Singing Bridge: Sonification of a Stress-Ribbon Footbridge. ArtsIT 2022: 359-373 - [c23]Jorge Forero, Gilberto Bernardes, Mónica Mendes:
Desiring Machines and Affective Virtual Environments. ArtsIT 2022: 405-414 - [c22]Francisco C. F. Almeida, Gilberto Bernardes, Christof Weiss:
Mid-level Harmonic Audio Features for Musical Style Classification. ISMIR 2022: 210-217 - [c21]Jorge Forero, Gilberto Bernardes, Mónica Mendes:
Emotional Machines: Toward Affective Virtual Environments. ACM Multimedia 2022: 7237-7238 - [c20]Luís Aly, Patrícia J. Bota, Leonor Godinho, Gilberto Bernardes, Hugo Silva:
Acting emotions: physiological correlates of emotional valence and arousal dynamics in theatre. IMX 2022: 381-386 - 2021
- [j6]Alexandre Clément, Luciano Moreira, Miriam Rosa, Gilberto Bernardes:
Musical Control Gestures in Mobile Handheld Devices: Design Guidelines Informed by Daily User Experience. Multimodal Technol. Interact. 5(7): 32 (2021) - [j5]Inês Salselas, Rui Penha, Gilberto Bernardes:
Sound design inducing attention in the context of audiovisual immersive environments. Pers. Ubiquitous Comput. 25(4): 737-748 (2021) - [c19]Gonçalo Bernardo, Gilberto Bernardes:
Leveraging Compatibility and Diversity in Computational Music Mashup Creation. Audio Mostly Conference 2021: 248-255 - [c18]Cláudio Lemos, Diogo Cocharro, Gilberto Bernardes:
Understanding Cross-Genre Rhythmic Audio Compatibility: A Computational Approach. Audio Mostly Conference 2021: 272-275 - [c17]Nádia Carvalho, Sara Gonzalez-Gutierrez, Javier Merchán Sánchez-Jara, Gilberto Bernardes, María Navarro-Cáceres:
Encoding, Analysing and Modeling I-Folk: A New Database of Iberian Folk Music. DLfM 2021: 75-83 - [c16]Nádia Carvalho, Gilberto Bernardes:
SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structures. EvoMUSART 2021: 37-51 - 2020
- [j4]María Navarro-Cáceres, Marcelo F. Caetano, Gilberto Bernardes, Mercedes Sánchez Barba, Javier Merchán Sánchez-Jara:
A Computational Model of Tonal Tension Profile of Chord Progressions in the Tonal Interval Space. Entropy 22(11): 1291 (2020) - [c15]María Navarro-Cáceres, Marcelo F. Caetano, Gilberto Bernardes:
Objective Evaluation of Tonal Fitness for Chord Progressions Using the Tonal Interval Space. EvoMUSART 2020: 150-164 - [c14]Nádia Carvalho, Gilberto Bernardes:
Towards balanced tunes: A review of symbolic music representations and their hierarchical modeling. ICCC 2020: 236-242 - [c13]Gilberto Bernardes:
Interfacing Sounds: Hierarchical Audio-Content Morphologies for Creative Re-purposing in earGram 2.0. NIME 2020: 537-542 - [c12]Margarida Pessoa, Cláudio Parauta, Pedro Luís, Isabela Corintha Almeida, Gilberto Bernardes:
Examining Temporal Trends and Design Goals of Digital Music Instruments for Education in NIME: A Proposed Taxonomy. NIME 2020: 591-595 - [c11]Eduardo Magalhães, João Jacob, Niels C. Nilsson, Rolf Nordahl, Gilberto Bernardes:
Physics-based Concatenative Sound Synthesis of Photogrammetric models for Aural and Haptic Feedback in Virtual Environments. VR Workshops 2020: 376-379 - [i1]António Ramires, Gilberto Bernardes, Matthew E. P. Davies, Xavier Serra:
TIV.lib: an open-source library for the tonal description of musical audio. CoRR abs/2008.11529 (2020)
2010 – 2019
- 2019
- [j3]Catarina Maçãs, Ana Rodrigues, Gilberto Bernardes, Penousal Machado:
MixMash: An Assistive Tool for Music Mashup Creation from Large Music Collections. Int. J. Art Cult. Des. Technol. 8(2): 20-40 (2019) - [j2]María Navarro-Cáceres, Marcelo F. Caetano, Gilberto Bernardes, Leandro Nunes de Castro:
ChordAIS: An assistive system for the generation of chord progressions with an artificial immune system. Swarm Evol. Comput. 50 (2019) - [c10]Isabela Corintha Almeida, Giordano Cabral, Gilberto Bernardes Almeida:
AMIGO: An Assistive Musical Instrument to Engage, Create and Learn Music. NIME 2019: 168-169 - [r2]Luís Aly, Rui Penha, Gilberto Bernardes:
Biosensing in Interactive Art: A User-Centered Taxonomy. Encyclopedia of Computer Graphics and Games 2019 - [r1]Gilberto Bernardes, Diogo Cocharro:
Dynamic Music Generation, Audio Analysis-Synthesis Methods. Encyclopedia of Computer Graphics and Games 2019 - 2018
- [c9]Catarina Maçãs, Ana Rodrigues, Gilberto Bernardes, Penousal Machado:
MixMash: A Visualisation System for Musical Mashup Creation. IV 2018: 471-477 - 2017
- [c8]Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes:
A Hierarchical Harmonic Mixing Method. CMMR 2017: 151-170 - [c7]Luís Aly, Rui Penha, Gilberto Bernardes:
DIGIT: A Digital Foley System to Generate Footstep Sounds. CMMR 2017: 429-441 - [c6]Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes:
Automatic musical key estimation with adaptive mode bias. ICASSP 2017: 316-320 - 2016
- [j1]Gilberto Bernardes, Diogo Cocharro, Carlos Guedes, Matthew E. P. Davies:
Harmony Generation Driven by a Perceptually Motivated Tonal Interval Space. Comput. Entertain. 14(2): 6:1-6:21 (2016) - [c5]Nuno Cabrita, Gilberto Bernardes:
Relational Interactive Art: A Framework for Interaction in a Social Context. Expressive (Posters, Artworks, and Bridging Papers) 2016: 35-39 - 2015
- [c4]Gilberto Bernardes, Diogo Cocharro, Carlos Guedes, Matthew E. P. Davies:
Conchord: An Application for Generating Musical Harmony by Navigating in the Tonal Interval Space. CMMR 2015: 243-260 - [c3]María Navarro, Marcelo F. Caetano, Gilberto Bernardes, Leandro Nunes de Castro, Juan Manuel Corchado:
Automatic Generation of Chord Progressions with an Artificial Immune System. EvoMUSART 2015: 175-186 - 2014
- [c2]Gilberto Bernardes, Matthew E. P. Davies, Carlos Guedes, Bruce W. Pennycook:
Considering Roughness to Describe and Generate Vertical Musical Structure in Content-Based Algorithmic-Assisted Audio Composition. ICMC 2014 - 2012
- [c1]Gilberto Bernardes, Carlos Guedes, Bruce W. Pennycook:
EarGram: An Application for Interactive Exploration of Concatenative Sound Synthesis in Pure Data. CMMR 2012: 110-129
Coauthor Index
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