Eigenrhythms: Drum pattern basis sets for classification and generation
نویسندگان
چکیده
We took a collection of 100 drum beats from popular music tracks and estimated the measure length and downbeat position of each one. Using these values, we normalized each pattern to form an ensemble of aligned drum patterns. Principal Component Analysis on this data set results in a set of basis ‘patterns’ that can be combined to give approximations and interpolations of all the examples. We use this low-dimension representation of the drum patterns as a space for classification and visualization, and discuss its application to generating continua of rhythms. Our classification results were very modest – about 20% correct on a 10-way genre classification task – but we show that the projection into principal component space reveals aspects of the rhythm that are largely orthogonal to genre but are still perceptually relevant.
منابع مشابه
Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten
Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...
متن کاملNonlinear Modelling of Kerman Combined Cycle Power Plant Drum-Boiler and Drum Level control especially in trip conditions
There are various methods of power generation such as combined cycle power plants. There are many variables in a power plant boiler unit, but the most important variables are Pressure and specially drum level that control system should be put it in the safe range. The purpose of this article is, modifying the oscillatory behavior of the drum level of Kerman combined cycle power plant and especi...
متن کاملNarrative Vagueness in Grass’s The Tin Drum: A Text-Centric Model of Narration to Reveal Dialogized Heteroglossia
The present study sets out to investigate the narrator’s textual position in Grass’s The Tin Drum. Although authorial self-dramatization through affinities with one or more characters in the work is undeniable, this study mainly concentrates on the inner interpenetrations of heteroglot utterances as uttered by an unreliable first-person narrator, Oskar Matzerath, in the light of the Bakhtinian ...
متن کاملTimbre-based Drum Pattern Classification using Hidden Markov Models
In order to explore the possibility of a timbre-based rhythm theory, a drum pattern classification system was developed, which is capable of describing the internal structure of a drum groove in a stochastic way. Using an onset detection algorithm, timbral features were extracted at every drum onset of the sample file. Next, a Hidden Markov Model (HMM) was fitted to the data. Local decoding of ...
متن کاملRadial Basis Neural Network Based Islanding Detection in Distributed Generation
This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...
متن کامل