Investigation of ducts as a “radar pinhole” for detecting objects through a wall [PDF]
There is a continuing interest in the through-the-wall capabilities of radar. It has been found that walls behave as a low-pass medium, and therefore through-the-wall radar has been restricted to frequencies in the low GHz range.
Whitelonis, Nicholas John
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Event Recognition Using Signal Spectrograms in Long Pulse Experiments [PDF]
As discharge duration increases, real-time complex analysis of the signal becomes more important. In this context, data acquisition and processing systems must provide models for designing experiments which use event oriented plasma control.
Detering F. +7 more
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Performance evaluation of the Hilbert–Huang transform for respiratory sound analysis and its application to continuous adventitious sound characterization [PDF]
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/The use of the Hilbert–Huang transform in the analysis of biomedical signals has increased during the past few years, but
Fiz Fernández, José Antonio +2 more
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Research on voiceprint recognition of reactor fault based on LSTM neural network
High-voltage reactor is one of the critical equipment to ensure the safe and stable operation of power system. As the fault of high-voltage reactor is difficult to be identified accurately, a voiceprint recognition method based on LSTM (long short-term ...
CAO Litan +3 more
doaj +1 more source
Lip2AudSpec: Speech reconstruction from silent lip movements video
In this study, we propose a deep neural network for reconstructing intelligible speech from silent lip movement videos. We use auditory spectrogram as spectral representation of speech and its corresponding sound generation method resulting in a more ...
Akbari, Hassan +3 more
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sEMG-Based Hand Gesture Recognition Using Binarized Neural Network
Recently, human–machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as a wearable system, has the advantage that users can easily and ...
Soongyu Kang +5 more
doaj +1 more source
Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training
Self-imitating feedback is an effective and learner-friendly method for non-native learners in Computer-Assisted Pronunciation Training. Acoustic characteristics in native utterances are extracted and transplanted onto learner's own speech input, and ...
Chung, Minhwa, Yang, Seung Hee
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Snoring Sound Recognition Using Multi-Channel Spectrograms
Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common and high-risk sleep-related breathing disorder. Snoring detection is a simple and non-invasive method. In many studies, the feature maps are obtained by applying a short-time Fourier transform
Ziqiang YE +3 more
doaj +1 more source
The appearance of wheezing sounds is widely considered by physicians as a key indicator to detect early pulmonary disorders or even the severity associated with respiratory diseases, as occurs in the case of asthma and chronic obstructive pulmonary ...
Juan De La Torre Cruz +5 more
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A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
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