The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models
نویسندگان
چکیده
In computational musicology research, clustering is a common approach to the analysis of expression. Our research uses mathematical model selection criteria to evaluate the performance of clustered and non-clustered models applied to intra-phrase tempo variations in classical piano performances. By engaging different standardisation methods for the tempo variations and engaging different types of covariance matrices, multiple pieces of performances are used for evaluating the performance of candidate models. The results of tests suggest that the clustered models perform better than the non-clustered models and the original tempo data should be standardised by the mean of tempo within a phrase.
منابع مشابه
Expressive timing analysis in classical piano performance by mathematical model selection
Given a piece of music, the timing of each beat varies from performer to performer. The study of these small differences is known as expressive timing analysis. Research into expressive timing helps us to understand human perception of music and the production of enjoyable music. Classical piano music is one music style where it is possible to measure expressive timing and hence provides a prom...
متن کاملClustering Expressive Timing with Regressed Polynomial Coefficients Demonstrated by a Model Selection Test
Though many past works have tried to cluster expressive timing within a phrase, there have been few attempts to cluster features of expressive timing with constant dimensions regardless of phrase lengths. For example, used as a way to represent expressive timing, tempo curves can be regressed by a polynomial function such that the number of regressed polynomial coefficients remains constant wit...
متن کاملA Model Selection Test for Factors Affecting the Choice of Expressive Timing Clusters for a Phrase
We model expressive timing for a phrase in performed classical music as being dependent on two factors: the expressive timing in the previous phrase and the position of the phrase within the piece. We present a model selection test for evaluating candidate models that assert different dependencies for deciding the Cluster of Expressive Timing (CET) for a phrase. We use cross entropy and Kullbac...
متن کاملJazz Ensemble Expressive Performance Modeling
Computational expressive music performance studies the analysis and characterisation of the deviations that a musician introduces when performing a musical piece. It has been studied in a classical context where timing and dynamic deviations are modeled using machine learning techniques. In jazz music, work has been done previously on the study of ornament prediction in guitar performance, as w...
متن کاملYQX Plays Chopin
A computer program is to play two piano pieces that it has never seen before in an “expressive” way (that is, by shaping tempo, timing, dynamics, and articulation in such a way that the performances sound “musical” or “human”). The two pieces were composed specifically for the occasion by Professor N.N. One is in the style of nocturnes by Frederic Chopin, the other is in a style resembling Moza...
متن کامل