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Mispronunciation Detection For Language Learning And Speech Recognition Adaptation, Zhenhao Ge

Open Access Dissertations

The areas of "mispronunciation detection" (or "accent detection" more specifically) within the speech recognition community are receiving increased attention now. Two application areas, namely language learning and speech recognition adaptation, are largely driving this research interest and are the focal points of this work.

There are a number of Computer Aided Language Learning (CALL) systems with Computer Aided Pronunciation Training (CAPT) techniques that have been developed. In this thesis, a new HMM-based text-dependent mispronunciation system is introduced using text Adaptive Frequency Cepstral Coefficients (AFCCs). It is shown that this system outperforms the conventional HMM method based on Mel Frequency Cepstral …

Semantics-Based Automated Quality Assessment Of Depression Treatment Web Documents, Yanjun Zhang

Electronic Thesis and Dissertation Repository

The past decade has witnessed a dramatic expansion in the amount of publicly available health care information on the Web. The health care information on the web, however, is of extremely variable quality. The evaluation of content quality is a big challenge because non-automated methods for information content rating can be easily overwhelmed by the huge data volume. This study proposes an automated approach for assessing the quality of web health care information through comparing the text content with evidence-based health care recommendations. This method relies on semantic analysis and text classification to identify the presentation of evidence-based recommendations in …