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Speech Technology Application in Pronunciation Training and Foreign Language Learning
 Barotová, Štěpánka ; Žmolíková, Kateřina (oponent) ; Szőke, Igor (vedoucí práce)
This diploma thesis deals with automatic English pronunciation assessment and error detection based on the Dynamic Time Warping (DTW) algorithm. It focuses on the improvement of an existing pronunciation training application and it proposes three areas of improvement: user interface, algorithm and corrective feedback. After various methods used for pronunciation assessment are discussed in the first part, the new design is introduced, the proposed system is described and three sets of experiments are performed. The experiments focus on phoneme-level error detection, syllable-level primary stress error detection and word-level intonation assessment and they are designed to be able to provide corrective feedback to the user. The last part of the thesis describes how all three areas of improvement were tested.
Úplný záznam
Speech Technology Application in Pronunciation Training and Foreign Language Learning
 Barotová, Štěpánka ; Žmolíková, Kateřina (oponent) ; Szőke, Igor (vedoucí práce)
This diploma thesis deals with automatic English pronunciation assessment and error detection based on the Dynamic Time Warping (DTW) algorithm. It focuses on the improvement of an existing pronunciation training application and it proposes three areas of improvement: user interface, algorithm and corrective feedback. After various methods used for pronunciation assessment are discussed in the first part, the new design is introduced, the proposed system is described and three sets of experiments are performed. The experiments focus on phoneme-level error detection, syllable-level primary stress error detection and word-level intonation assessment and they are designed to be able to provide corrective feedback to the user. The last part of the thesis describes how all three areas of improvement were tested.
Úplný záznam

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