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"Convolutional Deep Neural Network and Full Connectivity for Speech Enh" by Ban M. Alameri, Inas Jawad Kadhim et al.

The speech signal that is received in real-time has background noise and reverberations, which have an impact on the quality of speech. Therefore, it is crucial to reduce or eliminate the noise and increase the intel-ligibility and quality of speech signals. In this study, a proposed method that is the most effective and challenging in a low SNR environment for three types of noise are removed, including washing machine, traffic noise, and electric fan noise, and clean speech is recovered. with ...
Convolutional Network Deep Learning Ully Connected Network Ignal To Noise Ratio Snr Speech Enhancement
Source: uow.edu.au

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"Optical Flow Networks for Heartbeat Estimation in 4D Ultrasound Images" by Zhen Wang, Guangxu Li et al.

Congenital heart defects is one of the most common neonatal diseases and has a very low survival rate. The fetal heart is generally smaller and possesses a faster than normal beating rate, thus making medical diagnosis difficult. The efficiency and accuracy of diagnosis of congenital heart disease can be improved by computer-aided diagnostic methods. Optical flow is a robust algorithm for object recognition and motion detection, and has potential in early detection of congenital heart defects. I...
Congenital Heart Defect Convolutional Network Ovement Estimation Optical Flow
Source: uow.edu.au

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