National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Automatic Generation of Steps for DDR
Skála, František ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
The goal of this work is to draft methods suitable for automatic creation of step-files from music files for a DDR computer dance game. This problem is divided into two main parts - beat detection, thus determining the song tempo, and determination of steps itselves. Beat detection is based on detection of energy growths in particual frequency subbands and following statistical alignment of results. Step creation works similarly, but it focuses on detection of all intense moments of music and contains a logic for placing steps into different directions. Testing by users showed that application has the potential to address players seeking set of simple steps for their favourite songs. The quality of beat detection gives field for application of these methods even beyond scope of example application. This document also suggest a few possible improvements of used methods.
Analysis of automatic parameter extraction on piano recordings
Kaplan, Josef ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
This bachelor thesis deals with the analysis of the accuracy of automatic extraction of parameters, mainly of piano recordings. The given issue is described both from a technical and a musical perspective. This thesis summarizes knowledge from the field of music theory and the automatic detection of parameters that can be obtained from musical piano recordings. This thesis is focused on detecting onsets, beats, downbeats, pitch estimation and tempo. The analysis of piano recordings is realized using the Python programming language. The output is scripts that perform parameter detection based on user-selected methods that are commonly used to calculate parameters. The result is also testing the accuracy of individual methods based on annotations from different datasets, focusing primarily on piano recordings. The final part contains an evaluation based on selected metrics with an objective comparison.
Automatic Generation of Steps for DDR
Skála, František ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
The goal of this work is to draft methods suitable for automatic creation of step-files from music files for a DDR computer dance game. This problem is divided into two main parts - beat detection, thus determining the song tempo, and determination of steps itselves. Beat detection is based on detection of energy growths in particual frequency subbands and following statistical alignment of results. Step creation works similarly, but it focuses on detection of all intense moments of music and contains a logic for placing steps into different directions. Testing by users showed that application has the potential to address players seeking set of simple steps for their favourite songs. The quality of beat detection gives field for application of these methods even beyond scope of example application. This document also suggest a few possible improvements of used methods.

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