Results 21 to 30 of about 70,406 (132)

Investigation of ducts as a “radar pinhole” for detecting objects through a wall [PDF]

open access: yes, 2016
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
core   +1 more source

Event Recognition Using Signal Spectrograms in Long Pulse Experiments [PDF]

open access: yes, 2010
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
core   +2 more sources

Performance evaluation of the Hilbert–Huang transform for respiratory sound analysis and its application to continuous adventitious sound characterization [PDF]

open access: yes, 2016
© 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
core   +2 more sources

Research on voiceprint recognition of reactor fault based on LSTM neural network

open access: yesZhejiang dianli, 2023
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

open access: yes, 2017
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
core   +1 more source

sEMG-Based Hand Gesture Recognition Using Binarized Neural Network

open access: yesSensors, 2023
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

open access: yes, 2019
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
core   +1 more source

Snoring Sound Recognition Using Multi-Channel Spectrograms

open access: yesArchives of Acoustics
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

Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization

open access: yesSensors, 2021
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
doaj   +1 more source

A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition

open access: yes, 2019
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
core   +1 more source

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