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Very limited Vocabulary Speech Recognizer
Vystavěl, Kamil ; Míča, Ivan (referee) ; Sysel, Petr (advisor)
This bachelor thesis deals with the implementation of voice diagnostic method with limited number of recognized words in Matlab environment. Recognizer is designed for recognition of isolated words and is based on the dynamic programming method. This method is realized by the dynamic time warping algorithm (DTW). Features of the speech signal are calculated by methods of short-term analysis in time and frequency domain and by methods that are based on cepstral analysis and linear predictive analysis. The representation of the word, which is generated from its features, is suitable for quantifying the degree of similarity with the representation of another word. In order to achieve the highest degree of similarity, the dynamic time warping algorithm eliminates influence of fluctuation of the speech rate by non-linear normalization time axis of one of the compared words. The degree of the similarity of the two compared words is enumerated as the words’ distance. The representations of known words are stored in a word-book. The unknown word is compared with all words in the word-book and recognizer calculates distances between every known word and the unknown word. The unknown word is defined as identical with the known word that has the shortest distance to the unknown word. The successfulness depends mainly on the choice of the features.
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Dynamic time warping in biological signal processing
Brus, Lukáš ; Švrček, Martin (referee) ; Kolářová, Jana (advisor)
The Method of dynamic time warping is one of the modern scientific methods. It can be used for optimalization of analysis and classification of diagrams with biological signals. One part of the bachelor's thesis is to witness the generation of a biological process while studying the electrocardiogram and ECG classifications. The final part of the thesis is the discussion of the dynamic time warping and using these methods on a real data base of ECG signals from an experiment on an animal heart. This thesis mentions the function of DTW and also discusses a self-designed program for ECG diagnosing. This program, entitled ECG diagnose, is used for characterizing changes of the ECG signals during experiments performed on animal hearts.
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Dynamic Time Warping in Biosignal Processing
Kubát, Milan ; Kozumplík, Jiří (referee) ; Klimek, Martin (advisor)
This work is dedicated to dynamic time warping in biosignal processing, especially it´s application for ECG signals. On the beginning the theoretical notes about cardiography are summarized. Then, the DTW analysis follows along with conditions and demands assessments for it’s successful application. Next, several variants and application possibilities are described. The practical part covers the design of this method, the outputs comprehension, settings optimization and realization of methods related with DTW
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Very limited Vocabulary Speech Recognizer
Vystavěl, Kamil ; Míča, Ivan (referee) ; Sysel, Petr (advisor)
This bachelor thesis deals with the implementation of voice diagnostic method with limited number of recognized words in Matlab environment. Recognizer is designed for recognition of isolated words and is based on the dynamic programming method. This method is realized by the dynamic time warping algorithm (DTW). Features of the speech signal are calculated by methods of short-term analysis in time and frequency domain and by methods that are based on cepstral analysis and linear predictive analysis. The representation of the word, which is generated from its features, is suitable for quantifying the degree of similarity with the representation of another word. In order to achieve the highest degree of similarity, the dynamic time warping algorithm eliminates influence of fluctuation of the speech rate by non-linear normalization time axis of one of the compared words. The degree of the similarity of the two compared words is enumerated as the words’ distance. The representations of known words are stored in a word-book. The unknown word is compared with all words in the word-book and recognizer calculates distances between every known word and the unknown word. The unknown word is defined as identical with the known word that has the shortest distance to the unknown word. The successfulness depends mainly on the choice of the features.
|
|
|
Dynamic Time Warping in Biosignal Processing
Kubát, Milan ; Kozumplík, Jiří (referee) ; Klimek, Martin (advisor)
This work is dedicated to dynamic time warping in biosignal processing, especially it´s application for ECG signals. On the beginning the theoretical notes about cardiography are summarized. Then, the DTW analysis follows along with conditions and demands assessments for it’s successful application. Next, several variants and application possibilities are described. The practical part covers the design of this method, the outputs comprehension, settings optimization and realization of methods related with DTW
|
|
|
Dynamic time warping in biological signal processing
Brus, Lukáš ; Švrček, Martin (referee) ; Kolářová, Jana (advisor)
The Method of dynamic time warping is one of the modern scientific methods. It can be used for optimalization of analysis and classification of diagrams with biological signals. One part of the bachelor's thesis is to witness the generation of a biological process while studying the electrocardiogram and ECG classifications. The final part of the thesis is the discussion of the dynamic time warping and using these methods on a real data base of ECG signals from an experiment on an animal heart. This thesis mentions the function of DTW and also discusses a self-designed program for ECG diagnosing. This program, entitled ECG diagnose, is used for characterizing changes of the ECG signals during experiments performed on animal hearts.
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