Fuzzy Rules in Computer-Assisted Music Interpretation
نویسندگان
چکیده
In this paper we describe fuzzy rules used in the developed prototype of a “fuzzy music interpretation system” [4]. The core of this system consists of two essential units, the rule base and the inference machine. The rule base contains general IF–THEN interpretation rules, formulated by an experienced pianist. The inference machine contains both conventional and advanced fuzzy information processing strategies. Once the system is fed with the information—the notes and special signs such as “ppp” and “legato”, coded in accordance with the MIDI format—contained in the score of Beethoven’s “Für Elise”, it generates an interpretation of this piece of music and renders it in the form of a MIDI file. Certain refinement parameters allow us to modify the character of the interpretation.
منابع مشابه
Fuzzy Interpretation of Music
The modeling of the behavior of human process operators using fuzzy methods is well established in technical applications. We investigate whether these fuzzy strategies can also be successfully applied for modeling the manner in which a musician interprets a piece of music. For L. v. Beethoven’s composition “Für Elise” we set up a base of 150 fuzzy rules that relate to features laid down explic...
متن کاملGENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION
This paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. Since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. These features are the occurrence probabilities of six exchange groups in the seque...
متن کاملRobust and Adaptive OMR System Including Fuzzy Modeling, Fusion of Musical Rules, and Possible Error Detection
This paper describes a system for optical music recognition (OMR) in case of monophonic typeset scores. After clarifying the difficulties specific to this domain, we propose appropriate solutions at both image analysis level and high-level interpretation. Thus, a recognition and segmentation method is designed, that allows dealing with common printing defects and numerous symbol interconnection...
متن کاملA QUADRATIC MARGIN-BASED MODEL FOR WEIGHTING FUZZY CLASSIFICATION RULES INSPIRED BY SUPPORT VECTOR MACHINES
Recently, tuning the weights of the rules in Fuzzy Rule-Base Classification Systems is researched in order to improve the accuracy of classification. In this paper, a margin-based optimization model, inspired by Support Vector Machine classifiers, is proposed to compute these fuzzy rule weights. This approach not only considers both accuracy and generalization criteria in a single objective fu...
متن کاملFuzzy rules for fuzzy $overline{X}$ and $R$ control charts
Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the ...
متن کامل