[HTML][HTML] Deep learning in medical ultrasound analysis: a review

S Liu, Y Wang, X Yang, B Lei, L Liu, SX Li, D Ni… - Engineering, 2019 - Elsevier
Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

Silent speech interfaces for speech restoration: A review

JA Gonzalez-Lopez, A Gomez-Alanis… - IEEE …, 2020 - ieeexplore.ieee.org
This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-
acoustic biosignals generated by the human body during speech production to enable …

Tongue contour tracking and segmentation in lingual ultrasound for speech recognition: A review

K Al-Hammuri, F Gebali, I Thirumarai Chelvan… - Diagnostics, 2022 - mdpi.com
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has
been used widely in different applications as visual feedback to enhance language learning …

Updating the silent speech challenge benchmark with deep learning

Y Ji, L Liu, H Wang, Z Liu, Z Niu, B Denby - Speech Communication, 2018 - Elsevier
Abstract The term “Silent Speech Interface” was introduced almost a decade ago to describe
speech communication systems using only non-acoustic sensors, such as …

A novel bio-inspired deep learning approach for liver cancer diagnosis

RM Ghoniem - Information, 2020 - mdpi.com
Current research on computer-aided diagnosis (CAD) of liver cancer is based on traditional
feature engineering methods, which have several drawbacks including redundant features …

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 …

Electricity-theft detection in smart grid based on deep learning

N Ibrahim, S Al-Janabi, B Al-Khateeb - Bulletin of Electrical …, 2021 - papers.ssrn.com
Electricity theft is a major concern for utilities. The smart grid (SG) infrastructure generates a
massive amount of data, including the power consumption of individual users. Utilizing this …

[PDF][PDF] Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces.

L Tóth, G Gosztolya, T Grósz, A Markó, TG Csapó - INTERSPEECH, 2018 - inf.u-szeged.hu
Abstract Silent Speech Interface systems apply two different strategies to solve the
articulatory-to-acoustic conversion task. The recognition-and-synthesis approach applies …

Denoising convolutional autoencoder based B-mode ultrasound tongue image feature extraction

B Li, K Xu, D Feng, H Mi, H Wang… - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
B-mode ultrasound tongue imaging is widely used in the speech production field. However,
efficient interpretation is in a great need for the tongue image sequences. Inspired by the …

Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural networks

C Zhao, P Zhang, J Zhu, C Wu… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
A challenge in speech production research is to predict future tongue movements based on
a short period of past tongue movements. This study tackles speaker-dependent tongue …