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1كتاب
المساهمون: Schulich School of Music & CIRMMT, McGill University = Université McGill Montréal, Canada, Perception, Représentations, Image, Son, Musique (PRISM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Universidade do Porto = University of Porto, European Project: 831852,MORPH
المصدر: Artificial Intelligence in Music, Sound, Art and Design ; https://hal.science/hal-03473384Test ; Artificial Intelligence in Music, Sound, Art and Design, 12103, Springer International Publishing, pp.150-164, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-43859-3_11⟩
مصطلحات موضوعية: Chord Progression, Hierarchical Tension, Tonal Interval Space, Melodic Attraction, Consonance, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts
العلاقة: info:eu-repo/grantAgreement//831852/EU/From Timbre Perception to the Creative Exploration of Musical Instrument Sound Morphing/MORPH; hal-03473384; https://hal.science/hal-03473384Test; https://hal.science/hal-03473384/documentTest; https://hal.science/hal-03473384/file/Navarro_etal2020-EvoMUSART_cameraready.pdfTest
الإتاحة: https://doi.org/10.1007/978-3-030-43859-3_11Test
https://hal.science/hal-03473384Test
https://hal.science/hal-03473384/documentTest
https://hal.science/hal-03473384/file/Navarro_etal2020-EvoMUSART_cameraready.pdfTest -
2دورية أكاديمية
المؤلفون: Navarro-Cáceres, María, Caetano, Marcelo, Bernardes, Gilberto, Sánchez-Barba, Mercedes, Merchán Sánchez-Jara, Javier
المساهمون: Schulich School of Music & CIRMMT, McGill University = Université McGill Montréal, Canada, Perception, Représentations, Image, Son, Musique (PRISM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), European Project: 831852,MORPH
المصدر: ISSN: 1099-4300 ; Entropy ; https://hal.science/hal-03022217Test ; Entropy, 2020, ⟨10.3390/e22111291⟩.
مصطلحات موضوعية: chord progression, hierarchical tension, tonal interval space, melodic attraction, dissonance, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
العلاقة: info:eu-repo/grantAgreement//831852/EU/From Timbre Perception to the Creative Exploration of Musical Instrument Sound Morphing/MORPH; hal-03022217; https://hal.science/hal-03022217Test; https://hal.science/hal-03022217/documentTest; https://hal.science/hal-03022217/file/entropy-22-01291-v4.pdfTest
الإتاحة: https://doi.org/10.3390/e22111291Test
https://hal.science/hal-03022217Test
https://hal.science/hal-03022217/documentTest
https://hal.science/hal-03022217/file/entropy-22-01291-v4.pdfTest -
3دورية أكاديمية
المؤلفون: María Navarro-Cáceres, Marcelo Caetano, Gilberto Bernardes, Mercedes Sánchez-Barba, Javier Merchán Sánchez-Jara
المصدر: Entropy; Volume 22; Issue 11; Pages: 1291
مصطلحات موضوعية: chord progression, hierarchical tension, tonal interval space, melodic attraction, dissonance
وصف الملف: application/pdf
العلاقة: Complexity; https://dx.doi.org/10.3390/e22111291Test
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المساهمون: Schulich School of Music & CIRMMT, McGill University = Université McGill [Montréal, Canada], Perception, Représentations, Image, Son, Musique (PRISM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Universidade do Porto, Universidade do Porto = University of Porto, European Project: 831852,MORPH
المصدر: Artificial Intelligence in Music, Sound, Art and Design
Artificial Intelligence in Music, Sound, Art and Design, 12103, Springer International Publishing, pp.150-164, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-43859-3_11⟩
Artificial Intelligence in Music, Sound, Art and Design ISBN: 9783030438586
EvoMUSART
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Artificial Intelligence in Music, Sound, Art and Designمصطلحات موضوعية: Chord Progression, [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts, Computer science, Tonal Interval Space, Speech recognition, 02 engineering and technology, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Melodic Attraction, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Chord (music), Voice leading, 020201 artificial intelligence & image processing, Objective evaluation, Hierarchical Tension, Consonance
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd5dea7329c8f657d8508e8bc0775b3cTest
https://hal.archives-ouvertes.fr/hal-03473384Test -
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المؤلفون: Mercedes Sánchez-Barba, María Navarro-Cáceres, Javier Merchán Sánchez-Jara, Marcelo F. Caetano, Gilberto Bernardes
المساهمون: Schulich School of Music & CIRMMT, McGill University = Université McGill [Montréal, Canada], Perception, Représentations, Image, Son, Musique (PRISM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), European Project: 831852,MORPH
المصدر: Entropy
Entropy, MDPI, 2020, ⟨10.3390/e22111291⟩
Entropy, 2020, ⟨10.3390/e22111291⟩
Entropy, Vol 22, Iss 1291, p 1291 (2020)
Volume 22
Issue 11مصطلحات موضوعية: Melody, hierarchical tension, media_common.quotation_subject, Speech recognition, General Physics and Astronomy, lcsh:Astrophysics, Musical, Article, 050105 experimental psychology, 060404 music, chord progression, Rhythm, Perception, lcsh:QB460-466, Voice leading, 0501 psychology and cognitive sciences, lcsh:Science, media_common, Mathematics, [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts, 05 social sciences, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, melodic attraction, dissonance, 06 humanities and the arts, Musical expression, lcsh:QC1-999, Chord (music), lcsh:Q, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Timbre, lcsh:Physics, 0604 arts, tonal interval space
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e0cd31e85cda2f1687090e75930d9eTest
https://doi.org/10.3390/e22111291Test