Data-driven models for predicting community changes in freshwater ecosystems: A review

DY Lee, DS Lee, YK Cha, JH Min, YS Park - Ecological Informatics, 2023 - Elsevier
Freshwater ecosystems are sensitive to disturbances related to human activities, such as
climate and land-use changes. To predict and understand the potential impacts of these …

Encoding of articulatory kinematic trajectories in human speech sensorimotor cortex

J Chartier, GK Anumanchipalli, K Johnson, EF Chang - Neuron, 2018 - cell.com
When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx.
To investigate the neural mechanisms underlying articulation, we used direct cortical …

Direct speech reconstruction from articulatory sensor data by machine learning

JA Gonzalez, LA Cheah, AM Gomez… - … on Audio, Speech …, 2017 - ieeexplore.ieee.org
This paper describes a technique that generates speech acoustics from articulator
movements. Our motivation is to help people who can no longer speak following …

Adaptive multi-scale neural network with resnet blocks for solving partial differential equations

M Chen, R Niu, W Zheng - Nonlinear Dynamics, 2023 - Springer
In this paper, an adaptive multi-scale neural network with Resnet blocks (adaptive-MS-
Resnet) architecture is constructed for solving the Poisson equation, Helmholtz equation …

The use of articulatory movement data in speech synthesis applications: An overview—application of articulatory movements using machine learning algorithms—

K Richmond, Z Ling, J Yamagishi - Acoustical Science and …, 2015 - jstage.jst.go.jp
This paper describes speech processing work in which articulator movements are used in
conjunction with the acoustic speech signal and/or linguistic information. By ''articulator …

[PDF][PDF] Low Resource Acoustic-to-articulatory Inversion Using Bi-directional Long Short Term Memory.

A Illa, PK Ghosh - Interspeech, 2018 - isca-archive.org
Estimating articulatory movements from speech acoustic features is known as acoustic-to-
articulatory inversion (AAI). Large amount of parallel data from speech and articulatory …

Acoustic-to-articulatory map** with joint optimization of deep speech enhancement and articulatory inversion models

AS Shahrebabaki, G Salvi, T Svendsen… - … on Audio, Speech …, 2021 - ieeexplore.ieee.org
We investigate the problem of speaker independent acoustic-to-articulatory inversion (AAI)
in noisy conditions within the deep neural network (DNN) framework. In contrast with recent …

Representation learning using convolution neural network for acoustic-to-articulatory inversion

A Illa, PK Ghosh - … 2019-2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Recent techniques employ end-to-end systems to learn relevant features for several speech
related applications, including speech recognition, and speaker verification. In this work, we …

DNN-based acoustic-to-articulatory inversion using ultrasound tongue imaging

D Porras, A Sepúlveda-Sepúlveda… - 2019 International Joint …, 2019 - ieeexplore.ieee.org
Speech sounds are produced as the coordinated movement of the speaking organs. There
are several available methods to model the relation of articulatory movements and the …