|
|
Music Source Separation
Holík, Viliam ; Veselý, Karel (referee) ; Mošner, Ladislav (advisor)
Neural networks are used for the problem of music source separation from recordings. One such network is Conv-TasNet. The aim of the work is to experiment with the already existing implementation of this network for the purpose of potential improvement. The models were trained on the MUSDB18 dataset. It was successively experimented with the change of the network structure, transforming signals from the time domain to the frequency domain for the purpose of calculating the loss function, replacing different loss functions with the original one, finding the optimal learning rate for each loss function and gradually decreasing the learning rate during the learning process. The best experiments according to the SDR metric were training with loss functions L1 and logarithmic L2 in the time domain with a higher initial learning rate with its gradual decrease during the learning process. In a relative comparison of the best models to the baseline, it is more than 2.5% improvement.
|
|
|
Sound Effect "Glitch Machine"
Cimmerman, Matej ; Mošner, Ladislav (referee) ; Černocký, Jan (advisor)
This thesis addresses software music effects and their implementation. It shows design and implementation of the Glitch Machine, which belongs to the music multieffect programs and demonstrates the simultaneous use of various music effects to process audio signals. The result is a program for Windows OS, which utilizes cooperation of various effects, namely a filter, reverb, distortion, extractor, reverz, stutter, shifter, pitch resample and gain. It allows extensive and detailed editing of an audio track and a higher extent of manipulation with sounds, than with single music effects. Other components of the program include visualisations of the waveform and frequency spectrum of audio signals and an option for loading and saving effect presets. The program was tested in tests of the performance and memory usage and also with user testing of quality and graphical interface.
|
|
|
Integral quality criteria of regulation
Gruna, Jiří ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
This bachelor’s thesis deals with the assessment of the quality of regulation using integral criteria. In the first part we are interested in the basic theory of regulation needed to understand the problem. It includes a description of the control system, differential equations in the theory of transfer function, types of regulators and addresses the question of stability. In the second part the thesis introduces the integral criteria. Using their area, we assess the quality of regulation. For clarity, the criteria are supplemented by examples to show their advantages and disadvantages.
|
|
|
Arc Fault Detection
Fendrychová, Michaela ; Chumak,, Oleksiy (referee) ; Orságová, Jaroslava (advisor)
Diplomová práce je zaměřena na problematiku analýzy signálů za účelem detekce poruchového oblouku, přičemž analýza signálů je prováděna v časové, frekvenční a smíšené časově-frekvenční oblasti. Práce stručně shrnuje existující normy pro zařízení pro detekci poruchového oblouku. Práce dokumentuje testy a měření, které byly realizovány v souladu s normami IEC 62606:2013 a UL 1699B. Z důvodu nedostatečnosti stávajících norem je v práci popsána nová metoda iniciace poruchového oblouku. naměřená data byla analyzována s využitím rychlé Fourierovy transformace, krátkodobé Fourierovy transformace a vlnkové transformace. Na základě provedeného literárního průzkumu a s využitím výsledků provedených analýz signálu je v práci proveden návrh nové detekční metody pro účely detekce poruchového oblouku v systémech napájených střídavým i stejnosměrným napětím.
|
|
|
Modification of Speech Rate
Kovářík, Aleš ; Schwarz, Petr (referee) ; Szőke, Igor (advisor)
This diploma thesis discusses modification of a speech rate. The PSOLA (Pitch Synchronous OverLap Add) method was used for the rate modification. This algorithm works in time domain. Another method -- phase vocoder, which works in frequency domain is also presented in an overview. This thesis extends the PSOLA method with a phoneme recognition, which allows for better understandability of the speech output by considering characteristics of the phonemes beeing pronounced. To examine this proposed method, an application connecting PSOLA and a phoneme recognizer was developed.
|
|
| |
|
|
Mathematical transformation in dielectric relaxation spectroscopy
Brida, Marek ; Rozsívalová, Zdenka (referee) ; Frk, Martin (advisor)
This labor treats the problem of dielectric relaxation spectroscopy in time domain, measurement of the absorption characteristics and their conversion to the frequency domain by creating a frequency depends of loss factor. Paper reports an overview of the most common mathematical transformation and approximation, which are used for this conversion and they also compare some of them. Mathematical methods used in this paper are Fourier transformation and Hamon approximation. Measured dielectric insulation is slot insulation type Isonom NKN 2039 and Isonom NMN 0967.
|
|
|
Time domain edge finite elements
Cigánek, Jan ; Motl, Milan (referee) ; Raida, Zbyněk (advisor)
Diplomová práce se zabývá metodou hybridních (hranových a uzlových) konečných prvků ve frekvenční i časové oblasti. Tato metoda je použita pro analýzu vlnovodu parallel-plate, v kterém jsou umístěny dvě dielektrické vrstvy. Jako ukončení vlnovodu je implementována dokonale přizpůsobená vrstva označována PML. Projekt řeší možný výběr PML vrstvy v časové oblasti. Metoda je programována v programu MATLAB a výsledky jsou porovnány s programem COMSOL Multiphysics.
|
|
| |
|
|
Analysis of Heart Rate Variability
Škrtel, Karol ; Kolářová, Jana (referee) ; Provazník, Ivo (advisor)
The project describes the methods useful for observe changes of heart rate in ECG signal. Heart rate variability become (HRV) the conventionally accepted term to describe variations of NN intervals between consecutive heart beats and generally it is function of instantaneous heart rate or NN interval on time. HRV may be evaluated by time domain or frequency domain measures. In Matlab was developed algorithm, realized like function, which counts HRV parameters from ECG signal series. Analysis in time domain adverts to high correlation between statistic and geometric parameters and similarly with signal HRV. Results of frequency domain analysis shows similarity of power spectral density, which was calculated by two different ways (from interpolated and no interpolated signal HRV). Functionality of developed algorithm was verified on each signal. Project results have signification in progress of analysis ECG signal methods with a view to observe pathological changes in heart rate.
|
guest ::
