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[4N1-GS-7-01] Accent detection for television speech sound
Keywords:Accent Dictionary
The purpose of this study is to create an accent dictionary for low-frequency words by automatically detecting the phonetic accent position of words based on TV speech data, in which many low-frequency words such as proper nouns and new words appear.
First, the fo value of each phoneme, mora pronunciation, mora position within a word, and part of speech were extracted as features from the speech data, and a classifier was created using these as input. The model was trained on speech data from Corpus of Spontaneous Japanese (CSJ) and used to predict the accent positions of the nouns that appear in LaboroTVSpeech. The accuracy of the resulting accent dictionary was only 77-86%.
First, the fo value of each phoneme, mora pronunciation, mora position within a word, and part of speech were extracted as features from the speech data, and a classifier was created using these as input. The model was trained on speech data from Corpus of Spontaneous Japanese (CSJ) and used to predict the accent positions of the nouns that appear in LaboroTVSpeech. The accuracy of the resulting accent dictionary was only 77-86%.
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