Results 11 to 20 of about 1,051,339 (291)
IEEE Access, 2021 In this research, four unique nonlinear speech features are extracted and analyzed to study the dissimilarity pattern between when the speaker is being deceitful and truthful based on how human speech is perceived.
Sinead V. Fernandes, Muhammad S. Ullah
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Remote Sensing, 2021 Vegetation heat-stress assessment in the reclamation areas of coal gangue dumps is of great significance in controlling spontaneous combustion; through a temperature gradient experiment, we collected leaf spectra and water content data on alfalfa.
Qiyuan Wang +5 more
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A Spectral Condition for Feature Learning
CoRR, 2023 The push to train ever larger neural networks has motivated the study of initialization and training at large network width. A key challenge is to scale training so that a network's internal representations evolve nontrivially at all widths, a process known as feature learning.
Greg Yang +2 more
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IEEE Access, 2023 A thorough analysis and comprehension of the entire cue set in visual data are indispensable for an ideal video description model. As outlined in recent algorithm proposals, video descriptions have primarily been generated by learning RGB and optical ...
Ghazala Rafiq +2 more
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Remote Sensing, 2022 The spontaneous combustion of coal gangue dumps after reclamation causes severe harm to the ecological environment surrounding mining areas. Using remote sensing technology to determine vegetation heat stress levels is an important way to evaluate the ...
Qiyuan Wang +4 more
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Research Progress of Electromagnetic Emissions Prediction Technology for Coal and Rock Fracture
Meikuang Anquan, 2020 Electromagnetic emission method is an advanced technology to predict coal and gas outburst, rock burst and other dynamic disasters of coal and rock. It can realize non-contact, non-destructive and real-time monitoring, but its accuracy and efficiency ...
QIAO Zhen, GAO Jianning
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Investigating the rate of turbidity impact on underwater spectral reflectance detection
Frontiers in Marine Science, 2023 Spectral reflectance detection of the targeted object is considered a vital inherent optical property for its potential to provide abundant spectral information, which is crucial in underwater spectral imaging.
Hong Song +7 more
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On the Relevance of Spectral Features for Instrument Classification [PDF]
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007 Automatic knowledge extraction from music signals is a key component for most music organization and music information retrieval systems. In this paper, we consider the problem of instrument modelling and instrument classification from the rough audio data.
Andreas Brinch Nielsen +3 more
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Applied Sciences, 2022 From a very brief speech, human listeners can estimate the pitch range of the speaker and normalize pitch perception. Spectral features which inherently involve both articulatory and phonatory characteristics were speculated to play roles in this process,
Wei Zhang +4 more
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Quantifying Spectral Features of Type Ia Supernovae [PDF]
, 2009 We introduce a new technique to quantify highly structured spectra for which the definition of continua or spectral features in the observed flux spectra is difficult.
A. Wagers +41 more
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