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Stacked convolutional neural network for emotion recognition using multi feature speech analysis. [PDF]
Roy C +6 more
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Recognition of Soccer Player Actions Using a Synchronized Multi-Camera and mm-Wave Radar Platform. [PDF]
Keyter DB, de Villiers JP.
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Effects of Pain-evoked Electroencephalogram Responses on Electroencephalogram Index Performance during Inadequate Anesthesia. [PDF]
Fok KW, Wong P, Schuller PJ, Sleigh JW.
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Sensitivity analysis of data augmentation methods on performance of deep learning model for lung sounds classification. [PDF]
Wang Z, Wang Y, Sun Z.
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Phase spectrogram and frequency spectrogram as new diagnostic tools
Mechanical Systems and Signal Processing, 2007Abstract The power spectrogram has found wide use in diagnostics based on mechanical vibrations. It makes use of the amplitude values of the Short Time Fourier Transform (STFT) but does not consider the information contained in the phase values.
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Habituation Based on Spectrogram Analysis
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Javier Lorenzo 0001, Mario Hernández
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Journal of Clinical Neurophysiology, 2021
Summary: As continuous brain monitoring becomes a routine part of clinical care, continuous EEG has allowed better detection and characterization of nonconvulsive seizures, and patterns along the ictal–interictal continuum in critically ill patients.
Marcus C, Ng +2 more
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Summary: As continuous brain monitoring becomes a routine part of clinical care, continuous EEG has allowed better detection and characterization of nonconvulsive seizures, and patterns along the ictal–interictal continuum in critically ill patients.
Marcus C, Ng +2 more
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Recognition of speech spectrograms
The Journal of the Acoustical Society of America, 1984The performance of eight naive observers in learning to identify speech spectrograms was studied over a 2-month period. Single tokens from a 50-word phonetically balanced (PB) list were recorded by several talkers and displayed on a Spectraphonics Speech Spectrographic Display system.
B G, Greene, D B, Pisoni, T D, Carrell
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