Using Transposed Convolution for Articulatory-to-Acoustic Conversion from Real-Time MRI Data

Autor:	Hidefumi Ohmura, Kouichi Katsurada, Ryo Tanji
Rok vydání:	2021
Předmět:	business.industry Computer science Computer vision Real-time MRI Artificial intelligence business Convolution
Zdroj:	Interspeech 2021.
DOI:	10.21437/interspeech.2021-906
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::709837cd14df0d34313b6d9ce46b5470 https://doi.org/10.21437/interspeech.2021-906 Zobrazit plný text záznamu