RESUMO: o presente trabalho examina a hipótese de eficiência de mercado estimando um modelo de series temporais com coeficientes que variam no tempo. A metodologia utilizada foi a do Filtro de Kalman para um modelo autoregressivo e de média móvel (ARMA) com erros modelados com heteroscedasticidade condicional autoregressiva generalizada (GARCH). O modelo foi estimado pelo método da máxima veros...

In this paper, we present a novel set of tempo-related audio features for applications in audio retrieval. As opposed to existing feature sets commonly used in the retrieval domain which mainly focus on local spectral characteristics of the audio signal, our features capture its local temporal behaviour w.r.t. tempo, rhythm, and meter. As a key component to obtaining a high level of feature rob...

INTRODUCTION Culture methods used to determine Escherichia coli levels in food products are time consuming and labor intensive. The TEMPO system and reagents have been developed to replace plate and tube counting methods. In this study the TEMPO system has been used to compare the performance of the TEMPO EC test for the enumeration of E. coli in food products to the ISO 16649-2 plate count met...

Tempo, micro time and time signature are basic rhythmic features for a wide range of music. Their automated extraction from music is needed for a number of applications, e.g. automatic transcription and music information retrieval systems, authoring tools, entertainment applications, musicological analysis or educational purposes. The presented analysis procedure estimates tempo, micro time and...

In this study, the change in the synchronization between heartbeat and music was investigated. The phenomena of the synchronization between human heartbeat and musical tempo has been reported in several previous studies, however, it has not yet been fully investigated including the effect of changing the tempo of musical piece on the synchronization. In the experiment, the subjects were exposed...

This paper addresses the question how music information retrieval techniques originally developed to process audio recordings can be adapted for the analysis of corresponding brain activity data. In particular, we conducted a case study applying beat tracking techniques to extract the tempo from electroencephalography (EEG) recordings obtained from people listening to music stimuli. We point ou...

Riassunto: La necessità di definire una misura di distanza tra Regole di Associazione, al fine di cogliere l’evoluzione temporale del fenomeno indagato, è di primaria importanza quando si dispone di basi di dati riferiti alle stesse variabili ma osservate in momenti di tempo successivi. L’obiettivo è quello di separare la naturale variabilità di un fenomeno nel tempo, da variazioni sistematiche...

In the study, we propose a method to select components from datasets to form two kinds of categorizes {reqProcessing, noProcessing} for tempogram selector, which is built from a classifier. The research utilizes the low pass filtering (LPF) as the processing, so there are two tempogram with LPF or without LPF. The trained classifier is used to select the best out of the tempograms, which repres...

Automatic beat tracking is challenging task, especially for audio music with time-varying meters. This study proposes a dynamic programming approach with positional weighting window to handle beat tracking with time-varying meters. In particular, the tempo curve is the reference to obtain correct beat positions. The weighting window is used to adapt bandwidth of tempo which reciprocal represent...