Measuring Similarity between Flamenco Rhythmic Patterns
نویسندگان
چکیده
Music similarity underlies a large part of a listener’s experience, as it relates to familiarity and associations between different pieces or parts. Rhythmic similarity has received scant research attention in comparison with other aspects of music similarity such as melody or harmony. Mathematical measures of rhythmic similarity have been proposed, but none of them has been compared to human judgments. We present a first study consisting of two listening tests conducted to compare two mathematical similarity measures, the chronotonic distance and the directed swap distance, to perceptual measures of similarity. In order to investigate the effect of expertise on the perception of rhythmic similarity, we contrasted three groups of participants, namely non-musicians, classically trained percussionists and flamencomusicians. Results are presented in terms of statistical analysis of the raw ratings, phylogenetic analysis of the dissimilarity matrices, correlation with mathematical measures and qualitative analysis of spontaneous verbal descriptions reported by participants. A main effect of expertise was observed on the raw ratings, but not on the dissimilarity matrices. No effect of tempowasobserved.Results of both listening tests converge to show that the directed-swap distance best matches human judgments of similarity regardless of expertise. The analysis of verbal descriptions indicates that novice listeners focused on ‘surface’ features, while musicians focused on the underlying rhythmic structure and used more specialized vocabulary.
منابع مشابه
Simultaneous Unsupervised Learning of Flamenco Metrical Structure, Hypermetrical Structure, and Multipart Structural Relations
We show how a new unsupervised approach to learning musical relationships can exploit Bayesian MAP induction of stochastic transduction grammars to overcome the challenges of learning complex relationships between multiple rhythmic parts that previously lay outside the scope of general computational approaches to music structure learning. A good illustrative genre is flamenco, which employs not...
متن کاملThe Flamenco Cante: Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings
Flamenco singing is a highly expressive improvisational artform characterized by its deviation from the Western tonal system, freedom in rhythmic interpretation and a high amount of melodic ornamentation. Consequently, a singing performance represents a fusion of style-related constraints and the individual spontaneous interpretation. This study focuses on the description of the characteristics...
متن کاملComputational Models for Perceived Melodic Similarity in A Cappella Flamenco Singing
The present study investigates the mechanisms involved in the perception of melodic similarity in the context of a cappella flamenco singing performances. Flamenco songs belonging to the same style are characterized by a common melodic skeleton, which is subject to spontaneous improvisation containing strong prolongations and ornamentations. For our research we collected human similarity judgem...
متن کاملComparative Melodic Analysis of A Cappella Flamenco Cantes
Background in ethnomusicology and music analysis. A cappella singing styles (called cantes in the flamenco jargon) are among the most fundamental song styles within the flamenco repertoire. Until very recently, flamenco singers have been only using oral transmission to learn them. Because of this form of diffusion, melody has become one of the main musical facets to be listened to, remembered, ...
متن کاملCharacterization and Melodic Similarity of A Cappella Flamenco Cantes!
This paper intends to research on the link between musical similarity and style and sub-style (variant) classification in the context of flamenco a cappella singing styles. Given the limitation of standard computational models for melodic characterization and similarity computation in this particular context, we have proposed a specific set of melodic features adapted to flamenco singing styles...
متن کامل