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pro vyhledávání: '"SARMENTO, Pedro"'
Guitar tablatures enrich the structure of traditional music notation by assigning each note to a string and fret of a guitar in a particular tuning, indicating precisely where to play the note on the instrument. The problem of generating tablature fr
Externí odkaz:
http://arxiv.org/abs/2408.05024
Generative AI models have recently blossomed, significantly impacting artistic and musical traditions. Research investigating how humans interact with and deem these models is therefore crucial. Through a listening and reflection study, we explore pa
Externí odkaz:
http://arxiv.org/abs/2407.21615
Loopable music generation systems enable diverse applications, but they often lack controllability and customization capabilities. We argue that enhancing controllability can enrich these models, with emotional expression being a crucial aspect for b
Externí odkaz:
http://arxiv.org/abs/2401.12656
Autor:
Bindi, Giovanni, Demerlé, Nils, Diaz, Rodrigo, Genova, David, Golvet, Aliénor, Hayes, Ben, Huang, Jiawen, Liu, Lele, Martos, Vincent, Nabi, Sarah, Pelinski, Teresa, Renault, Lenny, Sarkar, Saurjya, Sarmento, Pedro, Vahidi, Cyrus, Wolstanholme, Lewis, Zhang, Yixiao, Roebel, Axel, Bryan-Kinns, Nick, Giavitto, Jean-Louis, Barthet, Mathieu
Artificial Intelligence (AI) technologies such as deep learning are evolving very quickly bringing many changes to our everyday lives. To explore the future impact and potential of AI in the field of music and sound technologies a doctoral day was he
Externí odkaz:
http://arxiv.org/abs/2310.18320
Recent work in the field of symbolic music generation has shown value in using a tokenization based on the GuitarPro format, a symbolic representation supporting guitar expressive attributes, as an input and output representation. We extend this work
Externí odkaz:
http://arxiv.org/abs/2307.05328
GuitarPro format tablatures are a type of digital music notation that encapsulates information about guitar playing techniques and fingerings. We introduce ShredGP, a GuitarPro tablature generative Transformer-based model conditioned to imitate the s
Externí odkaz:
http://arxiv.org/abs/2307.05324
Autor:
Kumar, Adarsh, Sarmento, Pedro
Subword tokenization has been widely successful in text-based natural language processing (NLP) tasks with Transformer-based models. As Transformer models become increasingly popular in symbolic music-related studies, it is imperative to investigate
Externí odkaz:
http://arxiv.org/abs/2304.08953
Publikováno v:
EvoMUSART: International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) 2023
Despite their impressive offline results, deep learning models for symbolic music generation are not widely used in live performances due to a deficit of musically meaningful control parameters and a lack of structured musical form in their outputs.
Externí odkaz:
http://arxiv.org/abs/2303.01665
Publikováno v:
EvoMUSART: International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) 2023
Recently, symbolic music generation with deep learning techniques has witnessed steady improvements. Most works on this topic focus on MIDI representations, but less attention has been paid to symbolic music generation using guitar tablatures (tabs)
Externí odkaz:
http://arxiv.org/abs/2302.05393
Na atualidade dois fatores condicionam os rumos da área energética brasileira e mundial, o primeiro e mais importante é a incerteza da oferta de petróleo e derivados, juntamente com comportamento dos preços destes produtos. O segundo são as pre