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I Live Tarot
Oplatková, Hana ; Vondřejcová, Silvie (referee) ; Klímová, Barbora (advisor)
Private deck of cards created during six-month survey and documentation of daily experiences. The package contains 49 cards and it is inspired by a set of 78 tarot cards. Text content - reverse side of the card was created using diary notes. Face side of the card was chosen as a representation of processes taking place usually in days when the card was read.
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Construction of conveyor superstructure of mobile robot MiR
Adámek, Tomáš ; Szabari, Mikuláš (referee) ; Knoflíček, Radek (advisor)
The subject of this diploma thesis is the design of a conveyor superstructure of a collaborative mobile robot MiR. The first part is a theoretical research basis focused on mobile collaborative technologies and information related to Mobile industrial Robots. The following is a practical part built on previous acquired knowledge. The key issue of the solution is the logistics transport of the PCB magazine in the field of SMT industry. There are created two structural design variants of the superstructure arrangement for the transport of two binders and the most suitable variant is selected on the basis of the multicriteria basic method. The selected alternative of the conveyor top module is then subjected to design calculations. In order to obtain a comprehensive overview of the prototype production, the following section contains drawing documentation, including relevant comments, an economic cost estimate and a risk analysis.
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Recognition of music cover versions using Music Information Retrieval techniques
Martinek, Václav ; Zvončák, Vojtěch (referee) ; Kiska, Tomáš (advisor)
This master’s thesis deals with designs and implementation of systems for music cover recognition. The introduction part is devoted to the calculation parameters from audio signal using Music Information Retrieval techniques. Subsequently, various forms of cover versions and musical aspects that cover versions share are defined. The thesis also deals in detail with the creation and distribution of a database of cover versions. Furthermore, the work presents methods and techniques for comparing and processing the calculated parameters. Attention is then paid to the OTI method, CSM calculation and methods dealing with parameter selection. The next part of the thesis is devoted to the design of systems for recognizing cover versions. Then there are compared systems already designed for recognizing cover versions. Furthermore, the thesis describes machine learning techniques and evaluation methods for evaluating the classification with a special emphasis on artificial neural networks. The last part of the thesis deals with the implementation of two systems in MATLAB and Python. These systems are then tested on the created database of cover versions.
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Music mood and emotion recognition using Music information retrieval techniques
Smělý, Pavel ; Mucha, Ján (referee) ; Kiska, Tomáš (advisor)
This work focuses on scientific area called Music Information Retrieval, more precisely it’s subdivision focusing on the recognition of emotions in music called Music Emotion Recognition. The beginning of the work deals with general overview and definition of MER, categorization of individual methods and offers a comprehensive view of this discipline. The thesis also concentrates on the selection and description of suitable parameters for the recognition of emotions, using tools openSMILE and MIRtoolbox. A freely available DEAM database was used to obtain the set of music recordings and their subjective emotional annotations. The practical part deals with the design of a static dimensional regression evaluation system for numerical prediction of musical emotions in music recordings, more precisely their position in the AV emotional space. The thesis publishes and comments on the results obtained by individual analysis of the significance of individual parameters and for the overall analysis of the prediction of the proposed model.
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Search in Music Signals
Skála, František ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
This work contains overview of methods used in the area of Music Information Retrieval, mainly for purposes of searching of musical recordings. Several existing services in the areas of music identification and searching are presented and their methods for unique song identification are described. This work also focuses on possible modifications of these algorithms for searching of cover versions of songs and for the possibility of searching based on voice created examples.
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Extraction of parameters for the research of music performance
Laborová, Anna ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
Different music performances of the same piece may significantly differ from each other. Not only the composer and the score defines the listener’s music experience, but the music performance itself is an integral part of this experience. Four parameter classes can be used to describe a performance objectively: tempo and timing, loudness (dynamics), timbre, and pitch. Each of the individual parameters or their combination can generate a unique characteristic performance. The extraction of such objective parameters is one of the difficulties in the field of Music Performance Analysis and Music Information Retrieval. The submitted work summarizes knowledge and methods from both of the fields. The system is applied to extract data from 31 string quartet performances of 2. movement Lento of String Quartet no. 12 F major (1893) by czech romantic composer Antonín Dvořák (1841–1904).
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Musical instruments recognition from audio records using Music information retrieval techniques
Kárník, Radoslav ; Mucha, Ján (referee) ; Kiska, Tomáš (advisor)
This paper discusses design and implementation of classifying system for recognition of musical instruments from audio records with use of Musical Information Retrieval techniques. In the first part, paper describes parameters used for instrument classification, calculation of said parameters from records and reduction of feature vector. Next part is devoted to tuning and implementation of various classifiers with focus on neural networks. These classifiers ar further tested on records from IRMAS dataset wchich contain 11 musical instruments playing solo or with other instruments. Results of classifiers tested on different parameters and different numbers of instruments are discussed in the last part.
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Conditions of Peace in the Context of the Colombian and Northern Irish Peace Process
Kindl, Jakob ; Karásek, Tomáš (advisor) ; Střítecký, Vít (referee)
This diploma thesis examines the relationship between the content and language of peace agreements and their acceptance by the population. It investigates the content on the basis of Johan Galtung's theoretical concept of positive peace and the language on the basis of structuralist linguistic theory. It is therefore an interdisciplinary research that combines the theoretical concept of the field of international relations with language theory. This thesis defends this approach by analyzing the concept of peace in international relations theories in which it identifies its shortcomings. A comparative case analysis of two peace agreements is conducted, the Good Friday Agreement in Northern Ireland and the Peace Agreement in Colombia. While the two conflicts and peace processes show many similarities, the outcome differed and while the agreement was accepted in Northern Ireland, the agreement was rejected in Colombia. This thesis is concerned with the search for the causes that may have led to the different outcome of the referendum on its adoption, and it seeks these causes in the content and language of the two agreements, rather than in the rejection of the referendum per se. The main contribution of the thesis is the analysis of the content and language of the two peace agreements, which examines...
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Chord structure detection in music recordings
Kučera, Ondřej ; Miklánek, Štěpán (referee) ; Ištvánek, Matěj (advisor)
This thesis deals with music information retrieval, namely automatic chord recognition in audio recordings. The thesis defines the concepts of chord and chroma features and describes the methods of converting the signal from the time domain to the frequency domain. The thesis explores methods for automatic chord detection; the state-of-the-art methods are based on deep learning. The thesis includes a system implemented in Python that allows chord detection from audio recordings. Individual recordings and associated chord labels can be visualized. The system offers a choice of methods for chord recognition – a method based on chord templates, a method using deep chroma vectors, and a method based on a convolutional neural network. The results of the methods are evaluated on a multi-genre dataset compiled from freely available annotations and recordings.
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Inverting Peace: The Bottom-Up Role of the Mine Action Community in Postliberal Peace-Building
Emery, Rupert Nicholas Ruscombe ; Ditrych, Ondřej (advisor) ; Rosendorf, Ondřej (referee)
This thesis explores the role of the humanitarian mine action (HMA) sector in peacebuilding and post-conflict reconstruction. Mine action is widely believed to be an integral component of peacebuilding, and its conduct has evolved significantly through the 20th and 21st centuries. Through the lens of postliberal international relations theory, HMA - and its practices and practitioners - is examined as a contributor to peace. To accomplish this a Bourdiesian field analysis of the HMA sector was conducted; along with a more in-depth case study of mine action in Sri Lanka which draws upon data from in-depth interviews and policy analysis. The results shed light on certain power relations in the HMA field relating to knowledge, expertise, and legitimacy; and provides a preliminary exploration of the contributions of mine action to a postliberal conception of peace. These results highlight both the potential of the method, and the need for further ethnographic study.
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