A Deep Neural Network Model for Speaker Identification
Applied Sciences, 2021 Speaker identification is a classification task which aims to identify a subject from a given time-series sequential data. Since the speech signal is a continuous one-dimensional time series, most of the current research methods are based on ...
Feng Ye, Jun Yang
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A Proposed Method for the Sound Recognition Process [PDF]
Engineering and Technology Journal, 2018 One of the most important issues in the signal-processing world is the issue of sounds differentiations. It has many applications in identifying the sources of the sounds, and many researches nowadays serves in this field and all of them looking for the ...
Azad Kareem, Marwa Jassim, Mustafa Ali
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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
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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
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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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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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Sparse frequency extrapolation of spectrograms [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Jabran Akhtar, Karl Erik Olsen
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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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