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National Repository of Grey Literature 13 records found  previous11 - 13  jump to record: Search took 0.01 seconds. 
Acoustic signal classification
 Pospíšil, Aleš ; Balík, Miroslav (referee) ; Atassi, Hicham (advisor)
Bachelor's thesis is focused on automatic music genre classication. First part of work evaluates present situation and refer to published studies. Gained knowledge from there is applied in this work. In terms of nding solution for problem the work summarize and describe suitable music features and classication techniques like neural networks and k-nearest neighbor. Four selected classication classes were classical, electro, jazz and rock music. Result of work is user-friendly system that provides automatic music genre recognition. Achieved classication performance is more less comparable to human music genres recognition.
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Fundamental methods for noise reduction in acoustic signals
 Ševela, Martin ; Mačák, Jaromír (referee) ; Rášo, Ondřej (advisor)
The work assesses the accumulation method of signal enhancement in noise and methods of inverse filtering in the reconstruction of distorted signal, based on testing in the creation of a program. Their advantages and disadvantages in the deployment of acoustic signals, improving the level of signal to noise ratio and improvement in the reconstruction.
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Noise Source Identification Using Beamforming
 Kurc, David ; Míča, Ivan (referee) ; Schimmel, Jiří (advisor)
This master's thesis is focused on the noise source identification using microphone arrays and beamforming as the signal processing method. It describes parts of such a system and provides a comparison with other systems that serve a similar purpose (eg. NAH). Various types of microphone arrays are mentioned with their influence on the resulting ability to identify the noise source. We are further focusing on Delay-And-Sum technology, on which we are explaining the basic principles and constraints of beamforming. The practical part describes the implementation of the DAS method in MATLAB and C language, the specific structures of built microphone arrays and assembly of complete systems capable of identifying sources of noise. These systems were tested by performing a practical experiment. Achievements in the form of distribution maps of acoustic energy in the focused space are interpreted in the last chapter.
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