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Recognising the Genre of Popular Songs
Čižmár, Filip ; Janoušek, Vladimír (referee) ; Zbořil, František (advisor)
The aim of this thesis is to get acquainted with the principles of working with sound in the Python programming language and with the issue of convolutional neural networks in order to create a web application capable of recognizing the genre of an uploaded song. The thesis describes the principles of machine learning with a focus on convolutional neural networks. A considerable part of this thesis is devoted to the research of available datasets created for the purpose of music information retrieval. Next, the process of preparation of the selected dataset and transformation of audio information into spectrograms for the learning of convolutional neural networks is described. Two models capable of recognizing the genre of music were created as a part of the thesis. First, for general, more popular genres and the second focuses on subgenres of electronic music. The result is a web application that, after a song is uploaded, displays the probabilities of classification into individual genres.
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Noise against the binary - How women, queer, and non-binary people use electronic music, and synthesizers as the emancipation tool
Pátá, Julia ; Hroch, Miloš (advisor) ; Turek, Pavel (referee)
This practical bachelor's thesis maps the connections between gender and the production of electronic experimental music, with an emphasis on the element of synthesizers, in domestic conditions. The thesis documents whether and how electronic experimental music and synthesizers can provide a more inclusive and accessible musical infrastructure in the Czech Republic. It also builds on an area that has been neglected by historical/academic scholarship and the media for several decades, and which has received more attention in recent years, especially in the context of the amplification of voices from gendered communities. This is evidenced, for example, in the music documentary Sisters with Transistors (2020) by filmmaker Lisa Rovner, which documents the pioneers of experimental electronic music, whose contributions largely underpin what we now perceive as electronic music. The practical output of the work is a series of seven interviews with figures from the Prague and Brno electronic scene who incorporate synthesizers in their work, divided into several categories according to the role they play within the electronic scene. The interviews are in the form of a zine and the individual texts are accompanied by analogue photographs. They project different approaches to the intersection of gender and...
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City and dance culturer: prague rave scene - a series of interviews
Patočková, Tereza ; Hroch, Miloš (advisor) ; Lovaš, Karol (referee)
Practical bachelor thesis - City and dance culture: Prague rave scene - a series of journalistic interviews, documents the relationship between the segment of Prague dance culture - rave scene and the city, as a physical space that provides a refuge. The work seeks ways to ensure the sustainability of an important part of the scene - rave open air events, so-called warehouse parties. It is these events that are the most vulnerable part of the dance culture, as they depend on open urban locations, which are declining due to advancing gentrification. However, warehouse events are also threatened by the stance of city authorities, which in many cases decide whether or not to lend urban space to these events. The intention of this work is fulfilled by documenting the statements of the respondents, who were selected for the series on the basis of their relationship to the topic. The interviews mediate different perspectives on the topic of urban space and dance culture, which in turn provide a comprehensive picture of the possibilities that could lead to greater sustainability and stability of the scene in all its complexity. The theoretical part of the work approaches the historical context of rave culture and at the same time places it in the current framework of society and city life.
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Recognising the Genre of Popular Songs
Čižmár, Filip ; Janoušek, Vladimír (referee) ; Zbořil, František (advisor)
The aim of this thesis is to get acquainted with the principles of working with sound in the Python programming language and with the issue of convolutional neural networks in order to create a web application capable of recognizing the genre of an uploaded song. The thesis describes the principles of machine learning with a focus on convolutional neural networks. A considerable part of this thesis is devoted to the research of available datasets created for the purpose of music information retrieval. Next, the process of preparation of the selected dataset and transformation of audio information into spectrograms for the learning of convolutional neural networks is described. Two models capable of recognizing the genre of music were created as a part of the thesis. First, for general, more popular genres and the second focuses on subgenres of electronic music. The result is a web application that, after a song is uploaded, displays the probabilities of classification into individual genres.
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The Construction of Authenticity on the Czech Drum and Bass Scene from the Perspective of Its Creators
Valášková, Johanka ; Oravcová, Anna (advisor) ; Samec, Tomáš (referee)
This bachelor thesis deals with the construction of authenticity of the Czech Drum and bass scene. The thesis focuses on its creators - DJs, producers and managers of Drum and bass events. The research is supported by cultural studies theories, which describe different aspects of the perception of authenticity. Following chapters focus on the development of electronic music and Drum and bass style in particular. The practical part begins with the description of qualitative research, within which five semi-structured interviews have been conducted. The main goal this thesis is to look at the perceptions of authenticity within the Czech Drum and bass scene (its creators as well as the audience), and outside the scene (relationships between Drum and bass scene and the public).
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The Construction of Authenticity on the Czech Drum and Bass Scene from the Perspective of Its Creators
Valášková, Johanka ; Oravcová, Anna (advisor) ; Samec, Tomáš (referee)
This bachelor thesis deals with the construction of authenticity of the Czech Drum and bass scene. The thesis focuses on its creators - DJs, producers and managers of Drum and bass events. The research is supported by cultural studies theories, which describe different aspects of the perception of authenticity. Following chapters focus on the development of electronic music and Drum and bass style in particular. The practical part begins with the description of qualitative research, within which five semi-structured interviews have been conducted. The main goal this thesis is to look at the perceptions of authenticity within the Czech Drum and bass scene (its creators as well as the audience), and outside the scene (relationships between Drum and bass scene and the public).
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