Feature learning of Japanese pitch accents and applications to Japanese speech education

We modeled pitch frequency by a sequential variational autoencoder to obtain the feature representations of the pitch accents of Japanese words for applications to Japanese speech education for the hearing impaired and Japanese-language learners. In our model, the latent variables are comprised of t...

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Bibliographic Details

Published in:	2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) pp. 188 - 193
Main Author:	Masuda-Katsuse, Ikuyo
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 08.07.2023
Subjects:	Auditory system deep learning Education Feeds Focusing Japanese speech education latent variables Linguistics pitch accent Representation learning speech perception Time-frequency analysis VAE
Online Access:	Get full text
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