Sign in

Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization

By Jiachen Lian and others
Articulatory representation learning is the fundamental research in modeling neural speech production system. Our previous work has established a deep paradigm to decompose the articulatory kinematics data into gestures, which explicitly model the phonological and linguistic structure encoded with human speech production mechanism, and corresponding gestural scores. We continue with... Show more
February 20, 2023
=
0
Loading PDF…
Loading full text...
Similar articles
Loading recommendations...
=
0
x1
Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization
Click on play to start listening