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Analysing Tool for Generating of Drum Triggers from Downmix Record
Konzal, Jan ; Mucha, Ján (referee) ; Přikryl, Lubor (advisor)
This thesis deals with the design and implementation of a tool for generating drums triggers from a downmix record. The work describes the preprocessing of the input audio signal and methods for the classification of strokes. The drum classification is based on the similarity of the signals in the frequency domain. Principal component analysis (PCA) was used to reduce the number of dimensions and to find the characteristic properties of the input data. The method support vector machine (SVM) was used to classify the data into individual classes representing parts of the drum kit. The software was programmed in Matlab. The classification model was trained on a set of 728 drum samples for seven categories (kick, snare, hi-hat, crash, ride, kick + hi-hat, snare + hi-hat). The success of the system in the classification is 75 %.
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The Spectrum analysis of different single drums from a drum set differently tuned and played by different drumsticks
Cvetler, Dominik ; Mojdl, Edgar (referee) ; Jirásek, Ondřej (advisor)
The bachelor thesis deals with the analysis of the spectrum of membranophones, more precisely drums from the drum kit. Spectrum analysis evaluates aspects that affect the instrument’s spectrum, especially its inharmonicity and the generation of noise or tone modes. The aspects examined are the impact of the drumsticks hardness, the impact hit point on the drum membrane, the tuning of the resonance membrane and the presence of the tailpiece. The thesis examines inharmonicity in the spectrum with harmonic ratios between individual components in bands of harmonic series. The thesis also describes individual drums in terms of organology, drumsticks and membranes used for drums, the theoretical basis of creating membranophones sound and the way in which the measured samples were recorded and processed.
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Contemporary Czech metal drummers with a focus on Miloš Meier
KRÁLOVÁ, Aneta
The main theme of the thesis is the personality of the most important Czech heavy metal drummer, Miloš Meier. The thesis summarises Meier's biographical data and focuses mainly on his musical career and pedagogical activities. The main topics include his role in important rock and heavy metal groups (Dymytry), realisation of his solo project (Drumming Syndrome), his cooperation with important personalities (Michal Pavlíček, Kamil Střihavka, Gus G.), specifics of his technique on percussion instruments, his participation in the world's largest drumming festivals and, last but not least, problems caused by related health complications. In further parts of the text basic features of the heavy metal music style are outlined along with its emergence and development on the Czechoslovak music scene and the main Czech heavy metal drummers are briefly introduced.
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The Spectrum analysis of different single drums from a drum set differently tuned and played by different drumsticks
Cvetler, Dominik ; Mojdl, Edgar (referee) ; Jirásek, Ondřej (advisor)
The bachelor thesis deals with the analysis of the spectrum of membranophones, more precisely drums from the drum kit. Spectrum analysis evaluates aspects that affect the instrument’s spectrum, especially its inharmonicity and the generation of noise or tone modes. The aspects examined are the impact of the drumsticks hardness, the impact hit point on the drum membrane, the tuning of the resonance membrane and the presence of the tailpiece. The thesis examines inharmonicity in the spectrum with harmonic ratios between individual components in bands of harmonic series. The thesis also describes individual drums in terms of organology, drumsticks and membranes used for drums, the theoretical basis of creating membranophones sound and the way in which the measured samples were recorded and processed.
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Analysing Tool for Generating of Drum Triggers from Downmix Record
Konzal, Jan ; Mucha, Ján (referee) ; Přikryl, Lubor (advisor)
This thesis deals with the design and implementation of a tool for generating drums triggers from a downmix record. The work describes the preprocessing of the input audio signal and methods for the classification of strokes. The drum classification is based on the similarity of the signals in the frequency domain. Principal component analysis (PCA) was used to reduce the number of dimensions and to find the characteristic properties of the input data. The method support vector machine (SVM) was used to classify the data into individual classes representing parts of the drum kit. The software was programmed in Matlab. The classification model was trained on a set of 728 drum samples for seven categories (kick, snare, hi-hat, crash, ride, kick + hi-hat, snare + hi-hat). The success of the system in the classification is 75 %.
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Klaudius Kryšpín (monograph)
KRÁLOVÁ, Aneta
The main theme of the thesis is the personality of the rock drummer Klaudius Kryšpín and his musical and pedagogical activities. The thesis contains basic biographical data describing the sequence of important events in Kryšpín's personal and professional life. One of the main topics is his presence in the prominent rock bands (Pražský výběr, Stromboli) which are described in some detail. Furthermore, Australian bands are mentioned with which he appeared on stage for a certain period. In the later parts of the text his method of preparing for music seminars and their organisation is described, and structure of private lessons given by him is analysed. The structure of lessons is highly original; teaching however is not usually regular and it is not financially motivated. In the conclusion of the thesis the drum kit is summarised along with the specifics of the technique of playing drums.
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