National Repository of Grey Literature 14 records found  previous11 - 14  jump to record: Search took 0.00 seconds. 
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.
Restoration of optical coherence tomography image data
Smékal, Ondřej ; Odstrčilík, Jan (referee) ; Jan, Jiří (advisor)
Restoration of image data has become an essential part of the processing of medical images obtained by any system. The same applies in the case of optical coherence tomography. The aim of this work is to study the first restoration methods. Second, the description of the data representation from optical coherence tomography and subsequent discussions that restoration methods based on deconvolution would potentially find application in processing of Optical coherence tomography. Finally, the third to create a program solution of the OCT data restoration process in MATLAB environment and followed by discussion of effectiveness of the presented solutions.
Automatic vocal-oriented recognition of human emotions
Houdek, Miroslav ; Přinosil, Jiří (referee) ; Atassi, Hicham (advisor)
This master thesis concerns with emotional states and gender recognition on the basis of speech signal analysis. We used various prosodic and cepstral features for the description of the speech signal. In the text we describe non-invasive methods for glottal pulses estimation. The described features of speech were implemented in MATLAB. For their classification we used the GMM classifier, which uses the Gaussian probability distribution for modeling a feature space. Furthermore, we constructed a system for recognition of emotional states of the speaker and a system for gender recognition from speech. We tested the success of created systems with several features on speech signal segments of various lengths and compared the results. In the last part we tested the influence of speaker and gender on the success of emotional states recognition.
Diagnostical Analysis of Voice
Sala, Pavel ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
Goal of this work was create survey study of information resources deal with diagnostic analysis of speech signal. Two methods for estimation of glottal flow was programmed. Finally, attention was focused on determination of criterions for description of selected pathological diagnosis and influence of stress on the glottal flow. Outcome of this work is proposal two criterions for describe influence of stress on the glottal flow.

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