9 Calculating Metrical Structure

ar X iv : g r - qc / 9 60 60 68 v 1 2 4 Ju n 19 96 Report IRB - StP - GR - 120696 The Analysis of Initial Conditions for the LTB Model

The LTB model is studied as the Caushy problem for the equations defined two metrical functions λ(μ, τ) and ω(μ, τ). The initial conditions throught metrical functions are presented. The rules of calculating three undetermined functions f(μ), F (μ) and F(μ) are obtained. The general expressions for the density and Habble function in the LTB model are written by the metrical functions. PACS numb...

Meter and Autocorrelation *

This paper introduces a novel way to detect metrical structure in music. We introduce a way to compute autocorrelation such that the distribution of energy in phase space is preserved in a matrix. The resulting autocorrelation phase matrix is useful for several tasks involving metrical structure. First we can use the matrix to enhance standard autocorrelation by calculating the Shannon entropy ...

Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy

This paper introduces a novel way to detect metrical structure in music. We introduce a way to compute autocorrelation such that the distribution of energy in phase space is preserved in a matrix. The resulting autocorrelation phase matrix is useful for several tasks involving metrical structure. First we can use the matrix to enhance standard autocorrelation by calculating the Shannon entropy ...

Running head: METRICAL EXPECTATIONS INFLUENCE WORD RECOGNITION 1 Metrical expectations from preceding prosody influence perception of lexical stress Date of resubmission: 9/21/2014 Running head: METRICAL EXPECTATIONS INFLUENCE WORD RECOGNITION 2 Metrical expectations from preceding prosody influence perception of lexical stress

DeepGTTM-II: Automatic Generation of Metrical Structure based on Deep Learning Technique

This paper describes an analyzer that automatically generates the metrical structure of a generative theory of tonal music (GTTM). Although a fully automatic time-span tree analyzer has been developed, musicologists have to correct the errors in the metrical structure. In light of this, we use a deep learning technique for generating the metrical structure of a GTTM. Because we only have 300 pi...