In this paper, we investigated the accuracy of negative utterance sentences in order to judge drinking. Drinking makes it difficult to pronounce specific sounds correctly. A number of speech parameters have been studied to identify inaccurate pronunciation features. Generally, the method of grasping the inaccurate pronunciation is analyzed using the change of pitch and formant. Formants have va...

This study focuses on word pronunciation in Text-to-Speech systems for Swedish. The purpose is to investigate whether machine learning techniques match knowledge-based systems in Swedish word pronunciation. The experiments show a maximum grapheme accuracy of just over 97%, and word accuracies from 67.0% for word pronunciation excluding stress assignment, which compares favourably to existing kn...

Recent research has shown that a properly designed ASRbased CALL system (Dutch-CAPT) was capable of detecting pronunciation errors and of providing comprehensible feedback on pronunciation. Since pronunciation is not the only skill required for speaking a second language, we explored the possibility of extending the Dutch-CAPT approach to other aspects of speaking proficiency like morphology an...

We propose a method for modeling pronunciation variation in the context of spell checking for non-native writers of English. Spell checkers, typically developed for native speakers, fail to address many of the types of spelling errors peculiar to non-native speakers, especially those errors influenced by differences in phonology. Our model of pronunciation variation is used to extend a pronounc...