activity
20202023
most citedA multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

43 citations · 49 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2023

Deep Speech Synthesis from MRI-Based Articulatory Representations

Peter Wu, Tingle Li, Yijing Lu +6

In this paper, we study articulatory synthesis, a speech synthesis method using human vocal tract information that offers a way to develop efficient, generalizable and interpretabl…

eess.AS2023★ 3 cited

Speaker-Independent Acoustic-to-Articulatory Speech Inversion

Peter Wu, Li-Wei Chen, Cheol Jun Cho +4

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 interp…

eess.AS2022★ 1 cited

Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization

Jiachen Lian, Alan W Black, Yijing Lu +3

Articulatory representation learning is the fundamental research in modeling neural speech production system. Our previous work has established a deep paradigm to decompose the art…

eess.AS2022★ 2 cited

Deep Speech Synthesis from Articulatory Representations

Peter Wu, Shinji Watanabe, Louis Goldstein +2

In the articulatory synthesis task, speech is synthesized from input features containing information about the physical behavior of the human vocal tract. This task provides a prom…

eess.AS2022

Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition

Jiachen Lian, Alan W Black, Louis Goldstein +1

Most of the research on data-driven speech representation learning has focused on raw audios in an end-to-end manner, paying little attention to their internal phonological or gest…

eess.SP2021★ 43 cited

A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

Yongwan Lim, Asterios Toutios, Yannick Bliesener +16

Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development…

q-bio.NC2020

Derivation of Fitts' law from the Task Dynamics model of speech production

Tanner Sorensen, Adam Lammert, Louis Goldstein +1

Fitts' law is a linear equation relating movement time to an index of movement difficulty. The recent finding that Fitts' law applies to voluntary movement of the vocal tract raise…