[HTML][HTML] Deep learning in medical ultrasound analysis: a review
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 …
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 …
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 …
been used widely in different applications as visual feedback to enhance language learning …
Updating the silent speech challenge benchmark with deep learning
Abstract The term “Silent Speech Interface” was introduced almost a decade ago to describe
speech communication systems using only non-acoustic sensors, such as …
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 …
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 …
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 …
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.
Abstract Silent Speech Interface systems apply two different strategies to solve the
articulatory-to-acoustic conversion task. The recognition-and-synthesis approach applies …
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 …
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
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 …
a short period of past tongue movements. This study tackles speaker-dependent tongue …