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A METHOD FOR LABELING BREAK STRENGTH AUTOMATICALLY BY USING CLASSIFICATION AND REGRESSION TREE
A METHOD FOR LABELING BREAK STRENGTH AUTOMATICALLY BY USING CLASSIFICATION AND REGRESSION TREE
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机译：一种基于分类和回归树的自动标注断裂强度的方法
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摘要
PURPOSE: A method for automatically labeling break strength using a classification and regression tree is provided to increase speed of labeling break strength and improve the accuracy of labeling break strength. CONSTITUTION: Voice data is received in sentences to be recorded(S11-S12). Phonemes are divided and accent is extracted from the input voice data(S13-S14). Phoneme duration and an accent value corresponding to the phoneme are extracted to extract the mean duration by phonemes and the mean accent of a speaker(S15). Seven rhythmical features are extracted by using phoneme division information and the accent value(S16). The extracted seven rhythmical features are normalized as a final mean value(S17). A result of labeling break manually is obtained(S18). A training of a classification and regression tree is executed by using the rhythmical features and the result of labeling break manually(S19). A cross confirming test is performed to measure the accuracy of labeling break strength(S20). A break strength automatic labeling rule is generated by a binary decision tree(S21). A program is terminated(S22).
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