An Audio-Visual Separation Model Integrating Dual-Channel Attention Mechanism
IEEE Access, 2023 Sound source separation is the separation of targeted sounds from a noisy environment, which plays an important role in signal processing and has been studied extensively.
Yutao Zhang, Kaixing Wu, Mengfan Zhao
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Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
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Spectrogram Classification Using Dissimilarity Space [PDF]
Applied Sciences, 2020 In this work, we combine a Siamese neural network and different clustering techniques to generate a dissimilarity space that is then used to train an SVM for automated animal audio classification. The animal audio datasets used are (i) birds and (ii) cat sounds, which are freely available.
Loris Nanni +3 more
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Electroencephalographic spectrogram–guided total intravenous anesthesia using dexmedetomidine and propofol prevents unnecessary anesthetic dosing during craniotomy: a propensity score–matched analysis [PDF]
Korean Journal of AnesthesiologyBackground The bispectral index (BIS) may be unreliable to gauge anesthetic depth when dexmedetomidine is administered. By comparison, the electroencephalogram (EEG) spectrogram enables the visualization of the brain response during anesthesia and may ...
Feng-Sheng Lin +4 more
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Automatic Speaker Recognition based on Gabor Features and Convolutional Neural Networks [PDF]
مجله مدل سازی در مهندسی, 2023 Human voice contains characteristics such as: ethnicity, gender, feelings, age and other information, and speaker recognition identifies people based on their voice.
Abdolreza Rashno +2 more
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Abnormalities of Quantitative Electroencephalography in Children with Asperger Disorder Using Spectrogram andCoherence Values [PDF]
Iranian Journal of Psychiatry, 2008 Objective: To obtain abnormalities in quantitative Electroencephalography QEEG) and to observe connectivity between electrodes in children with Asperger disorder.
Hamid Behnam +3 more
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Spectrograms of ship wakes: identifying linear and nonlinear wave signals [PDF]
, 2016 A spectrogram is a useful way of using short-time discrete Fourier transforms to visualise surface height measurements taken of ship wakes in real world conditions.
McCue, Scott W. +2 more
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IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2014 Abstrak Pada sebuah sistem recognition, pemilihan metode ekstraksi ciri dan ukuran fitur yang digunakan mempengaruhi tingkat keakuratan identifikasi. Berkaitan dengan hal itu, dalam penelitian ini akan dijabarkan perbandingan tiga metode ekstraksi ciri ...
La Ode Hasnuddin Sagala, Agus Harjoko
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The Use of Speech Technology to Protect the Document Turnover
Безопасность информационных технологий, 2017 The wide current paper documents implementation in practice workflows are shown. The basic aspects of document protection related to the protection of their content and legal components are underlined.
Alexandr M. Alyushin +1 more
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UAV Thrust Model Identification Using Spectrogram Analysis
Automation, 2021 This paper deals with a non-contact method to identify the aerodynamic propeller constants of the Parrot AR.Drone quadrotor. The experimental setup consists of a microphone installed in the flight arena to record audio data.
Igor Henrique Beloti Pizetta +2 more
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