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Detection of speech disorders
Struhař, Michal ; Rajmic, Pavel (referee) ; Sysel, Petr (advisor)
This thesis deals with detection of speech disorders. One of the aims of this thesis is choosing suitable parameterization: short-time energy, zero-crossing rate, linear predictive analysis, perceptual linear predictive analysis, RASTA method, cepstral analysis and mel-frequency cepstral coefficient can be chosed for detections. Next aim is construction of detector of speech disorders based on DTW (Dynamic Time Warping) and artificial neuron network. Single detection proceeds on the base of collected tokens from chosen analysis and phonetic transcription of speech. Analyses, detector and phonetic transcription of Czech language are implemented in simulation environment of MATLAB.
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Logopedic defect analysis and recognition in speech utterances
Diviš, Jan ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
This bachelor's thesis deals with logopaedia mistake called dyslalie and its characteristics. I described the process creation and representation of speech. There are presented bases of processing and analyses speech signal ( LPC, cepstral, MFCC). I presented characteristics of speech and calculation of LPC, cepstral and Mel-frequency cepstral coefficients in the programme MATLAB. The bachelor's thesis includes problems of incorrect pronunciation sound "r" and "ř".
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Voice Conversion
Lukáč, Peter ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
Predmetom tejto práce je konverzia hlasu. Konverzia hlasu predstavuje preberanie reči jedného rečníka, ktorého nazývame zdrojový rečník a transformovanie tejto reči na reč ktorá znie ako reč druhého rečníka, ktorého nazývame cieľový rečník. Toto je dosiahnuté pomocou systému pre konverziu hlasu, ktorý je popísaný v tejto práci. Ako framework pre analýzu a syntézu reči používame STRAIGHT, ktorý bol dominantne používaný vo Voice Conversion Challenge 2016. Náš system pre konverziu hlasu je založený na konverzii spectra použitím doprednej neurónovej siete a paralelného trénovania.
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Removal of a Known Signal from a Recording
Urbánek, Radomír ; Žmolíková, Kateřina (referee) ; Černocký, Jan (advisor)
The goal of this diploma thesis is to design and implement method for removing known signal from recorded sound. In the introductory part of the thesis are described the properties of sound and its propagation through the space, digital signal processing on the computer and the computing of the system impulse response. The sequential development of the methods leading to the removal of the known signal from the recording is described further. The following part contains a description and implementation of this method. It also describes how and at what data the method will be tested. Finally, testing is evaluated, improvements and further possible work is proposed.
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Voice Conversion
Lukáč, Peter ; Glembek, Ondřej (referee) ; Černocký, Jan (advisor)
Predmetom tejto práce je konverzia hlasu. Konverzia hlasu predstavuje preberanie reči jedného rečníka, ktorého nazývame zdrojový rečník a transformovanie tejto reči na reč ktorá znie ako reč druhého rečníka, ktorého nazývame cieľový rečník. Toto je dosiahnuté pomocou systému pre konverziu hlasu, ktorý je popísaný v tejto práci. Ako framework pre analýzu a syntézu reči používame STRAIGHT, ktorý bol dominantne používaný vo Voice Conversion Challenge 2016. Náš system pre konverziu hlasu je založený na konverzii spectra použitím doprednej neurónovej siete a paralelného trénovania.
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Removal of a Known Signal from a Recording
Urbánek, Radomír ; Žmolíková, Kateřina (referee) ; Černocký, Jan (advisor)
The goal of this diploma thesis is to design and implement method for removing known signal from recorded sound. In the introductory part of the thesis are described the properties of sound and its propagation through the space, digital signal processing on the computer and the computing of the system impulse response. The sequential development of the methods leading to the removal of the known signal from the recording is described further. The following part contains a description and implementation of this method. It also describes how and at what data the method will be tested. Finally, testing is evaluated, improvements and further possible work is proposed.
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|
Logopedic defect analysis and recognition in speech utterances
Diviš, Jan ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
This bachelor's thesis deals with logopaedia mistake called dyslalie and its characteristics. I described the process creation and representation of speech. There are presented bases of processing and analyses speech signal ( LPC, cepstral, MFCC). I presented characteristics of speech and calculation of LPC, cepstral and Mel-frequency cepstral coefficients in the programme MATLAB. The bachelor's thesis includes problems of incorrect pronunciation sound "r" and "ř".
|
|
|
Detection of speech disorders
Struhař, Michal ; Rajmic, Pavel (referee) ; Sysel, Petr (advisor)
This thesis deals with detection of speech disorders. One of the aims of this thesis is choosing suitable parameterization: short-time energy, zero-crossing rate, linear predictive analysis, perceptual linear predictive analysis, RASTA method, cepstral analysis and mel-frequency cepstral coefficient can be chosed for detections. Next aim is construction of detector of speech disorders based on DTW (Dynamic Time Warping) and artificial neuron network. Single detection proceeds on the base of collected tokens from chosen analysis and phonetic transcription of speech. Analyses, detector and phonetic transcription of Czech language are implemented in simulation environment of MATLAB.
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