Summary
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Study of Prominence Detection Based on Various Phone-Specific Features Sung Soo KIM Chang Woo HAN Nam Soo KIM Publication IEICE TRANSACTIONS on Information and Systems Vol.E93-D No.8 pp.2327-2330 Publication Date: 2010/08/01 Online ISSN: 1745-1361 DOI: 10.1587/transinf.E93.D.2327 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Speech and Hearing Keyword: prominence, phone-specific, SVM, ANN, Adaboost, Full Text: PDF(146.4KB)>>
Summary: In this letter, we present useful features accounting for pronunciation prominence and propose a classification technique for prominence detection. A set of phone-specific features are extracted based on a forced alignment of the test pronunciation provided by a speech recognition system. These features are then applied to the traditional classifiers such as the support vector machine (SVM), artificial neural network (ANN) and adaptive boosting (Adaboost) for detecting the place of prominence. | ||||||||||
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