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Study of Prominence Detection Based on Various Phone-Specific Features
Sung Soo KIM Chang Woo HAN Nam Soo KIM
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/08/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
prominence, phone-specific, SVM, ANN, Adaboost,
Full Text: PDF(146.4KB)>>
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.