An Abstract Control Space for Communication of Sensory Expressive Intentions in Music Performance
Bibliographic Data
| ID | 5304754 |
|---|---|
| Authors | Canazza (0000-0001-7083-4615), Sergio Canazza, Giovanni De Poli (0000-0001-8487-7093), Giovanni Poli, Antonio Rod, Antonio Rod�, Alvise Vidolin |
| Year | 2003 |
| Volume | 32 |
| Issue | 3 |
| Pages | 281-294 |
| Publication date | 2003-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of New Music Research (JOURNAL) |
| Journal identifiers | ISSN: 0929-8215 • E-ISSN: 1744-5027 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1076/jnmr.32.3.281.16862 |
| OpenAlex | W2033094552 |
| Language | EN |
| Citations received | 8 |
Expressiveness is not an extravagance: instead, expressiveness plays a critical role in rational decision-making, in perception, in human interaction, in human emotions and in human intelligence. These facts, combined with the development of new informatics systems able to recognize and understand different kinds of signals, open new areas for research. A new model is suggested for computer understanding of sensory expressive intentions of a human performer and both theoretical and practical applications are described for human-computer interaction, perceptual information retrieval, creative arts and entertainment. Recent studies demonstrated that by opportunely modifying systematic deviations introduced by the musician it is possible to convey different sensitive contents, such as expressive intentions and/or emotions. We present an space, that can be used as a user interface. It represents, at an abstract level, the expressive content and the interaction between the performer and an expressive synthesizer
Ambisonics · Cognitive science · Entertainment · Human–computer interaction · Loudspeaker · Multimedia · Perception · Performing arts · The arts · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception · Psychology · Artificial Intelligence
Methodologies for Expressiveness Modelling of and for Music Performance
Computational Models of Expressive Music Performance
Estimation of Time-Varying Parameters in Rule Systems for Music Performance
Understanding musical expressiveness using interactive multimedia platforms
Avaliação de performances por ouvintes
How clarinettists vary amplitude, frequency, spectral features and microtiming to play music expressively
The Mega Project
Phase-plane Representation and Visualization of Gestural Structure in Expressive Timing
| Unique citing works | 8 |
|---|---|
| Citations per year | 0,35 |
| Citation span | 2003 - 2025 (23) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |