计算机科学
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11 篇有效样本 · 按发表日期由新到旧排列
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Beyond the instrument: a systematic review on the technological expansion of acoustic performance
作者Rui Travasso; Alma Ramírez
作者单位1. Department of Arts, Humanities and Sport, Polytechnic University of Beja, Beja, Portugal; 2. Department of Sciences and Technology, Universidade Aberta, Lisbon, Portugal; 3. CIEQV - Life Quality Research Centre, Portugal; 4. Department of Music, University of Évora, Évora, Portugal
Development and perceptual validation of an optical see-through augmented reality paradigm for performance simulation research in music
作者Nery Borges; Mário Vairinhos; Isabel Souto; Helena Marinho; Marcos Araújo; Anabela Pereira
作者单位1. University of Aveiro; 2. Universidade Federal do Rio Grande do Sul; 3. University of Évora
Real-time auralisation for music performers on virtual stages: general definitions and pilot study with guitar duets
作者Ernesto Accolti; Lukas Aspöck; Manuj Yadav; Michael Vorländer
作者单位1. National University of San Juan (UNSJ) and the National Scientific and Technical Research Council (CONICET); 2. RWTH Aachen University
Postural adaptations of saxophone players during music performance
作者Nádia Moura; Pedro Fonseca; Bárbara Magalhães; Marc Vidal; Sofia Serra; João Paulo Vilas-Boas
作者单位1. Universidade Católica Portuguesa; 2. University of Porto; 3. University of Coimbra; 4. Instituto Politécnico do Porto; 5. Ghent University; 6. Max Planck Institute for Human Cognitive and Brain Sciences; 7. University of Aveiro
An unsupervised feature selection approach for finding diverse emotional-semantic representations in sonic branding music
作者Sebastian Silas; David Baker; Antoine Sachet; Daniel Müllensiefen
作者单位1. Goldsmiths University; 2. Hochschule für Musik, Theater und Medien; 3. University of Hamburg; 4. SoundOut; 5. University of Amsterdam
Validation of musical stimuli for emotion evaluation: the Musical Emotion Evaluation Test
作者Marília Nunes-Silva; Ana Raíssa Da Luz; Carlos Guilherme Schlottfeldt; Pedro Saulo Rocha Martins
作者单位1. Federal University of Minas Gerais; 2. State University of Minas Gerais; 3. Mapa HDS; 4. Psychology, Federal University of Minas Gerais
Tonic identification in classical music using source-modified group delay functions
作者Rajeev Rajan; M. A. Aiswarya
作者单位1. Department of Electronics and Communication Engineering, Government Engineering College, Barton Hill; 2. College of Engineering, APJ Abdul Kalam Technological University
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