Peter Desain
Biographic Data
| ID | 1379470 |
|---|---|
| NAME | Peter Desain |
| GIVEN NAMES | Peter |
| FAMILY NAME | Desain |
| SIGNATURE | DESAIN P |
| AFFILIATIONS | Radboud University Nijmegen |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2008 |
| H-INDEX | 2 |
Real-Time Visual Feedback for Learning to Perform Short Rhythms with Expressive Variations in Timing and Loudness
According to learning theories and empirical observations, communication between teachers and students is a crucial factor in effective learning of musical expressions. One possibility for improving this communication could be the introduction of visual feedback (VFB) in the lesson. In the current study, a new type of real-time VFB is proposed, which represents changes in acoustical parameters (loudness and timing) as parameters of an abstract vi…
The Influence of Musical Context on Tempo Rubato
Different pieces of music offer different expressive possibilities. Even a single piece of music offers the possibility to be treated in several expressive ways see (Repp, 1998). How much of this variety of possible interpretations is exhibited in actual performances of the music? Do pianists make use of the different parameters of the piece to shape their performance? Do variety in performances and variety in musical parameters relate to each ot…
On tempo tracking
We formulate tempo tracking in a Bayesian framework where a tempo tracker is modeled as a stochastic dynamical system. The tempo is modeled as a hidden state variable of the system and is estimated by a Kalman filter. The Kalman filter operates on a Tempogram, a wavelet-like multiscale expansion of a real performance. An important advantage of our approach is that it is possible to formulate both off-line or real-time algorithms. The simulation r…
Computational Models of Beat Induction
This paper is a report of ongoing research on the computational modeling of beat induction which aims at achieving a better understanding of the perceptual processes involved by ordering and reformulating existing models. One family of rule-based beat induction models is described (Longuet-Higgins and Lee, 1982; Lee, 1985; Longuet-Higgins, 1994), along with the presentation of analysis methods that allow an evaluation of the models in terms of th…
CLOSe to the edge? Advanced object‐oriented techniques in the representation of musical knowledge
Item does not contain fulltext
A connectionist and a traditional AI quantizer, symbolic versus sub-symbolic models of rhythm perception
The Symbolic AI paradigm and the Connectionist paradigm have produced some incompatible models of the same domain of cognition. Two such models in the field of rhythm perception, namely the Longuet-Higgins Musical Parser and the Desain & Honing connectionist quantizer, were studied in order to find ways to compare and evaluate them. Different perspectives from which to describe their behavior were developed, providing a conceptual as well as a vi…
Tempo curves considered harmful
In the literature of musicology, computer music research and the psychology of music, timing or tempo measurements are mostly presented in the form of continuous curves. The notion of these tempo curves is dangerous, despite its widespread use, because it lulls its users into the false impression that a continuous concept of temporal flow has an independent existence, a musical or psychological reality, and that time can be perceived independent …
Tempo curves considered harmful
In the literature of musicology, computer music research and the psychology of music, timing or tempo measurements are mostly presented in the form of continuous curves. The notion of these tempo curves is dangerous, despite its widespread use, because it lulls its users into the false impression that a continuous concept of temporal flow has an independent existence, a musical or psychological reality, and that time can be perceived independent …
The Influence of Musical Context on Tempo Rubato
Different pieces of music offer different expressive possibilities. Even a single piece of music offers the possibility to be treated in several expressive ways see (Repp, 1998). How much of this variety of possible interpretations is exhibited in actual performances of the music? Do pianists make use of the different parameters of the piece to shape their performance? Do variety in performances and variety in musical parameters relate to each ot…
On tempo tracking
We formulate tempo tracking in a Bayesian framework where a tempo tracker is modeled as a stochastic dynamical system. The tempo is modeled as a hidden state variable of the system and is estimated by a Kalman filter. The Kalman filter operates on a Tempogram, a wavelet-like multiscale expansion of a real performance. An important advantage of our approach is that it is possible to formulate both off-line or real-time algorithms. The simulation r…
Computational Models of Beat Induction
This paper is a report of ongoing research on the computational modeling of beat induction which aims at achieving a better understanding of the perceptual processes involved by ordering and reformulating existing models. One family of rule-based beat induction models is described (Longuet-Higgins and Lee, 1982; Lee, 1985; Longuet-Higgins, 1994), along with the presentation of analysis methods that allow an evaluation of the models in terms of th…
Real-Time Visual Feedback for Learning to Perform Short Rhythms with Expressive Variations in Timing and Loudness
According to learning theories and empirical observations, communication between teachers and students is a crucial factor in effective learning of musical expressions. One possibility for improving this communication could be the introduction of visual feedback (VFB) in the lesson. In the current study, a new type of real-time VFB is proposed, which represents changes in acoustical parameters (loudness and timing) as parameters of an abstract vi…
A connectionist and a traditional AI quantizer, symbolic versus sub-symbolic models of rhythm perception
The Symbolic AI paradigm and the Connectionist paradigm have produced some incompatible models of the same domain of cognition. Two such models in the field of rhythm perception, namely the Longuet-Higgins Musical Parser and the Desain & Honing connectionist quantizer, were studied in order to find ways to compare and evaluate them. Different perspectives from which to describe their behavior were developed, providing a conceptual as well as a vi…
Tempo curves considered harmful
In the literature of musicology, computer music research and the psychology of music, timing or tempo measurements are mostly presented in the form of continuous curves. The notion of these tempo curves is dangerous, despite its widespread use, because it lulls its users into the false impression that a continuous concept of temporal flow has an independent existence, a musical or psychological reality, and that time can be perceived independent …
CLOSe to the edge? Advanced object‐oriented techniques in the representation of musical knowledge
Item does not contain fulltext
Computational Models of Beat Induction
This paper is a report of ongoing research on the computational modeling of beat induction which aims at achieving a better understanding of the perceptual processes involved by ordering and reformulating existing models. One family of rule-based beat induction models is described (Longuet-Higgins and Lee, 1982; Lee, 1985; Longuet-Higgins, 1994), along with the presentation of analysis methods that allow an evaluation of the models in terms of th…
The Influence of Musical Context on Tempo Rubato
Different pieces of music offer different expressive possibilities. Even a single piece of music offers the possibility to be treated in several expressive ways see (Repp, 1998). How much of this variety of possible interpretations is exhibited in actual performances of the music? Do pianists make use of the different parameters of the piece to shape their performance? Do variety in performances and variety in musical parameters relate to each ot…
On tempo tracking
We formulate tempo tracking in a Bayesian framework where a tempo tracker is modeled as a stochastic dynamical system. The tempo is modeled as a hidden state variable of the system and is estimated by a Kalman filter. The Kalman filter operates on a Tempogram, a wavelet-like multiscale expansion of a real performance. An important advantage of our approach is that it is possible to formulate both off-line or real-time algorithms. The simulation r…
Real-Time Visual Feedback for Learning to Perform Short Rhythms with Expressive Variations in Timing and Loudness
According to learning theories and empirical observations, communication between teachers and students is a crucial factor in effective learning of musical expressions. One possibility for improving this communication could be the introduction of visual feedback (VFB) in the lesson. In the current study, a new type of real-time VFB is proposed, which represents changes in acoustical parameters (loudness and timing) as parameters of an abstract vi…
Computer Science (7 works) · Artificial Intelligence (6 works) · Neuroscience and Music Perception (6 works) · Music and Audio Processing (5 works) · Psychology (4 works) · Art (3 works) · Cognitive psychology (3 works) · Music Technology and Sound Studies (3 works) · Musical (3 works) · Perception (3 works)