Keywords: transformer-based encoder-decoder
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

End-to-end Japanese Multi-dialect Speech Recognition and Dialect Identification with Multi-task Learning

Ryo Imaizumi, Ryo Masumura, Sayaka Shiota, Hitoshi Kiya
Journal: APSIPA Transactions on Signal and Information Processing
APSIPA Transactions on Signal and Information Processing (2022) 11 (1): 1–23.
https://doi.org/10.1561/116.00000045
Published: 21 February 2022
... of the CC BY-NC 4.0 licence . Japanese multi-dialect automatic speech recognition Japanese dialect identification multi-task learning transformer-based encoder-decoder end-to-end model Recently, deep learning-based end-to-end (E2E) systems have demonstrated state-of-the-art...
View article titled, End-to-end Japanese Multi-dialect Speech Recognition and Dialect Identification with Multi-task Learning
Open the PDF for End-to-end Japanese Multi-dialect Speech Recognition and Dialect Identification with Multi-task Learning in another window
Add to Citation Manager for End-to-end Japanese Multi-dialect Speech Recognition and Dialect Identification with Multi-task Learning
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal