Matched Gaussian Multitaper Spectrogram
, 2013 Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Sandsten, Maria
openaire +4 more sources
, 2021 A variety of automated classification approaches have been developed to extract species detection information from large bioacoustic datasets. Convolutional neural networks (CNNs) are an image classification technique that can be operated on the ...
Knight, Elly C. +4 more
core +1 more source
Infant Cry Signal Diagnostic System Using Deep Learning and Fused Features
Diagnostics, 2023 Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective treatment. However, infants are unable to verbalize their symptoms, making it difficult for healthcare professionals to accurately diagnose their conditions ...
Yara Zayed, Ahmad Hasasneh, Chakib Tadj
doaj +1 more source
Robust Sound Event Classification using Deep Neural Networks [PDF]
, 2015 The automatic recognition of sound events by computers is an important aspect of emerging applications such as automated surveillance, machine hearing and auditory scene understanding.
Song, Yan +4 more
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IEEE Access, 2020 Heartbeat detection is one of key techniques to monitor our health condition in daily life, and demands for this technique have increased year and year.
Kohei Yamamoto, Tomoaki Ohtsuki
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Comparison between 13C NMR experimental spectrogram and model calculation spectrogram of lignite.
, 2023 Comparison between 13C NMR experimental spectrogram and model calculation spectrogram of lignite.
Jinzhang Jia (9647878) +5 more
core +1 more source