Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Mauricio Alves Loureiro"'
Publikováno v:
Per Musi, Vol 40 (Thematic Session: Computing Performed Music), Iss 2020, Pp 1-19 (2021)
Singers perform different vocal adaptations to sing both lyrical and popular music. The mechanism M1 (modal register) is predominant, but a small portion uses the mechanism M2 (falsetto register). In the lyrical singing, it is the countertenor who ma
Externí odkaz:
https://doaj.org/article/4ecf913faf174902a22f814d51401950
Autor:
Mauricio Alves Loureiro, Davi Alves Mota, Thiago Campolina, Hani Camille Yehia, Rafael Laboissière
Publikováno v:
Opus, Vol 18, Iss 2, Pp 181-206 (2012)
A series of studies have shown that musicians accompany themselves better than others. This is known as the self/other effect in action recognition and simulation and has been demonstrated in other action-perception tasks like recognizing handwriting
Externí odkaz:
https://doaj.org/article/5a1740326cb141eda9e6b0bd1bf9bba8
Autor:
Mauricio Alves Loureiro
Publikováno v:
Opus, Vol 12, Iss 1, Pp 7-32 (2006)
Este texto busca rever recentes abordagens metodológicas na investigação da expressividade na performance musical a partir da extração de informação do próprio som, visando identificar os parâmetros acústicos capazes de descrever o conteúd
Externí odkaz:
https://doaj.org/article/825fdb6b57bb4c948eae92b20566428b
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030702090
CMMR
CMMR
This paper addresses the description of musical note attacks considering the influence of the reverberation. It is well known that attacks have an essential role in music performance. By manipulating note attack quality, musicians are able to control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35344e2f748b91a9e81b519629a47fee
https://doi.org/10.1007/978-3-030-70210-6_16
https://doi.org/10.1007/978-3-030-70210-6_16
Publikováno v:
Anais do XXXI Simpósio Brasileiro de Informática na Educação (SBIE 2020).
Este artigo apresenta uma proposta de aplicação de ferramentas computacionais para análise acústica de conteúdo sonoro musical no processo ensino-aprendizagem, como suporte para o desenvolvimento técnico e perceptivo na performance musical. A m
Publikováno v:
Revista de Informática Teórica e Aplicada; v. 27, n. 4 (2020); 127-138
This paper introduces the alpha version of a Python library called Iracema, which aims to provide models for the extraction of meaningful information from recordings of monophonic pieces of music, for purposes of research in music performance. With t
Publikováno v:
Anais do Simpósio Brasileiro de Computação Musical (SBCM 2019).
CEGeME - Center for Research on Musical Gesture and Expression is affiliated to the Graduate Program in Music of the Universidade Federal de Minas Gerais (UFMG), hosted by the School of Music, Belo Horizonte, Brazil, since 2008. Focused on the empiri
Publikováno v:
The Journal of the Acoustical Society of America. 138:EL212-EL216
In this study the movement patterns of ten expert musicians are quantitatively related to expressive timing patterns and the music structure during performances. The hypothesis is that ancillary gestures recurrently employed are closely related to ex
Publikováno v:
Journal of New Music Research. 44:97-111
In this work we evaluate the gesture consistency of 13 clarinetists during several performances. The goal is to establish an objective relation between their expressive gestural patterns and the music structure of two selected excerpts, by Mozart and
Publikováno v:
Brain and Cognition. 82:229-235
Many studies have suggested that structural and functional cerebral neuroplastic processes result from long-term musical training, which in turn may produce cognitive differences between musicians and non-musicians. We aimed to investigate whether in