Louis Goldstein — accepted AI-conference papers

2023

Articulatory Representation Learning via Joint Factor Analysis and Neural Matrix Factorization

Jiachen Lian, Alan W. Black, Yijing Lu, Louis Goldstein, Shinji Watanabe, Gopala Krishna Anumanchipalli

ICASSP 2023accepted

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 h…

Cited by 0 Source ↗Scholar ↗

2023

Speaker-Independent Acoustic-to-Articulatory Speech Inversion

Peter Wu, Li-Wei Chen, Cheol Jun Cho, Shinji Watanabe, Louis Goldstein, Alan W. Black +1

ICASSP 2023accepted

To build speech processing methods that can handle speech as naturally as humans, researchers have explored multiple ways of building an invertible mapping from speech to an interpretable space. The articulatory space is a promising inversion target, since this space captures the mechanics of speech…

Cited by 39 Source ↗Scholar ↗