National Repository of Grey Literature 56 records found  beginprevious31 - 40nextend  jump to record: Search took 0.00 seconds. 
A tool for simultaneous playback of multiple composition interpretations
Švejcar, Michael ; Ištvánek, Matěj (referee) ; Miklánek, Štěpán (advisor)
The purpose of this Bachelor’s thesis was to create a piece of software which enables the user to simultaneously play back multiple interpretations of a musical piece and switch between them instantaneously. This was achieved using the App Designer in the MATLAB environment, which is intended for developing applications with graphical user interface. The key to the development of the application was especially the use of available toolboxes and algorithms for computing chromagrams and multiscale dynamic time warping. The final IntSwitcher player enables the user to load two recordings of interpretations of one song. Chromagrams which characterize the individual recordings in terms of tonal development over time are first calculated from the input files. After that, the multiscale dynamic time warping method is applied on the chromagrams, which outputs the warping path. The warping path in this case is a matrix, in which musically corresponding samples of loaded audio files are assigned together with the resolution of 50 ms. From this, the corresponding time position of currently inactive track is computed along with its slider position. If the user switches the currently played recording, the second track starts playing in the same part of composition, even if that part is at a different time in each of the individual recordings. The final software is an appropriate tool for studying differences between various interpretations of the same musical piece.
Cover Song Identification using Music Harmony Features, Model and Complexity Analysis
Maršík, Ladislav ; Pokorný, Jaroslav (advisor) ; Ge, Mouzhi (referee) ; Łukasik, Ewa (referee)
Title: Cover Song Identification using Music Harmony Features, Model and Complexity Analysis Author: Ladislav Maršík Department: Department of Software Engineering Supervisor: Prof. RNDr. Jaroslav Pokorný, CSc., Department of Software Engineering Abstract: Analysis of digital music and its retrieval based on the audio fe- atures is one of the popular topics within the music information retrieval (MIR) field. Every musical piece has its characteristic harmony structure, but harmony analysis is seldom used for retrieval. Retrieval systems that do not focus on similarities in harmony progressions may consider two versions of the same song different, even though they differ only in instrumentation or a singing voice. This thesis takes various paths in exploring, how music harmony can be used in MIR, and in particular, the cover song identification (CSI) task. We first create a music harmony model based on the knowledge of music theory. We define novel concepts: a harmonic complexity of a mu- sical piece, as well as the chord and chroma distance features. We show how these concepts can be used for retrieval, complexity analysis, and how they compare with the state-of-the-art of music harmony modeling. An extensive comparison of harmony features is then performed, using both the novel fe- atures and the...
Audio-to-Score Alignment tool
Búliková, Tereza ; Sládok, Ondřej (referee) ; Kiska, Tomáš (advisor)
This thesis deals with obtaining spectra and chroma features from audio records. Features are used in synchronization algorithm Dynamic Time Warping. This algorithm is used to create synchronization programs Audio-to-audio and Audio-to-score alignment.
Direct assembly of genome signals from nanopore sequencing
Karmazinová, Inna ; Maděránková, Denisa (referee) ; Sedlář, Karel (advisor)
The aim of this bachelor thesis is to search for overlaps between signals from nanopore sequencing using MinION device version R9. The theoretical part deals with methods used for genome assembly - greedy algorithm, overlap-layout-consensus (OLC) and de Bruijn graphs. Oxford Nanopore Technologies introduced the MinION device, which simplifies sequencing using the current change, which occurs while the DNA is passing through the nanopore. The error rate of the device is still high, the accuracy problem occurs during the base-calling. Using the difference signal, possibly also the dynamic time warping, it is possible to find overlaps between the individual signals. Signal analysis and genome assembly using the MinION signal could provide better accuracy.
Voice command for a TV set
Černý, Patrik ; Straňák, Pavel (advisor) ; Peterek, Nino (referee)
Title: Voice command for a TV set Author: Patrik Černý Department: Institute of Formal and Applied Linguistics Supervisor: Mgr. Pavel Straňák, Ph.D. Abstract: A goal of this thesis is to create television voice control intended for poeple with speech and movement disorder. This is achieved by interconnecting computer and television. Voice control is based on well-known dynamic time warping algorithm. It has been shown, that due to high and frequent changes in sound intensity the voice control of television is quite a complex task. The word recognition success rate of the final application is not very high, but for the purpose sufficient. Because of application design, program can be easily extended by techniques, that can improve recognition effectivity. Keywords: voice control, word recognition, dynamic time warping, television 1
Dynamic Time Warping for Vehicle Classification
Halachkin, Aliaksei ; Honec, Peter (referee) ; Honzík, Petr (advisor)
This thesis focuses on the dynamic time warping. During the work was written C/Python library. Using this library, the algorithm was subsequently applied for the vehicle classification based on their shapes. Testing had been performed on real data from a laser scanner. Then the algorithm had been compared to the correlation and Euclidean distance. Finally, laboratory model had been created, which demonstrates vehicle recognition using dynamic time warping.
Dynamic Time Warping
Černohous, Lukáš ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
This thesis describes the method of dynamic Time Warping (DTW), its principles and method of calculation options. Additionally, it lists some of the typical examples of its implementation.
Dynamic Programming in Biosignal Processing
Procházka, Petr ; Kolářová, Jana (referee) ; Klimek, Martin (advisor)
Bachelor thesis describes the dynamic time warping method (DTW), which is used for extrasystoles detection in ECG signales. Several methods for extracting a reference cycle are described in this paper. These methods are applied either to whole heart cycles or just to QRS complexes. Afterwards these methods are compared with results of cluster analysis.
Dynamic Time Warping
Černohous, Lukáš ; Pikula, Stanislav (referee) ; Klusáček, Jan (advisor)
This thesis describes the method of dynamic Time Warping (DTW), its principles and method of calculation options. Additionally, it lists some of the typical examples of its implementation. In the practical part, it focuses on the creation oof a simple signature verification model using DTW and it evaluates the results. The model was programmed in MATLAB.
Evaluation of Organisms Relationship by Genomic Signal Processing
Škutková, Helena ; Tkacz, Ewaryst (referee) ; Schwarz,, Daniel (referee) ; Provazník, Ivo (advisor)
This dissertation deals with alternative techniques for analysis of genetic information of organisms. The theoretical part presents two different approaches for evaluation of relationship between organisms based on mutual similarity of genetic information contained in their DNA sequences. The first approach is currently standardized phylogenetics analysis of character based records of DNA sequences. Although this approach is computationally expensive due to the need of multiple sequence alignment, it allows evaluation of global and local similarity of DNA sequences. The second approach is represented by techniques for classification of DNA sequences in a form of numerical vectors representing characteristic features of their genetic information. These methods known as „alignment free“ allow fast evaluation of global similarity but cannot evaluate local changes. The new method presented in this dissertation combines the advantages of both approaches. It utilizes numerical representation similar to 1D digital signal, i.e. representation that contains specific trend along x-axis. The experimental part of dissertation deals with design of a set of appropriate tools for genomic signal processing to allow evaluation mutual similarity of taxonomically specific trends. On the basis of the mutual similarity of genomic signals, the classification in the form of dendrogram is applied. It corresponds to phylogenetic trees used in standard phylogenetics.

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