Results 31 to 40 of about 83,689 (283)
Classification of Malaysian vowels using formant based features [PDF]
, 2008 Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software, especially using English as the language of choice. Despite of all these advances, machines cannot match the performance of
M., Paulraj +2 more
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EURASIP Journal on Wireless Communications and Networking, 2007 Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty.
Qilian Liang
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Species recognition by the sequence of discharge intervals in weakly electric fishes of the genus Campylomormyrus (Mormyridae, Teleostei) [PDF]
, 1994 In two Campylomormyrus species, tamandua and rhynchophorus from Central Africa, the electric organ discharge (EOD) activity was studied during the nocturnal activity phase in the laboratory. Both species have a pulse-type EOD of less than 200 μs duration
Kramer, Bernd, Kuhn, Birgit
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BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The full-waveform lidar technology allows a complete access to the information related to the emitted and backscattered laser signals. Although most of the common applications of full-waveform lidar are currently dedicated to the study of forested areas,
J.-C. Michelin, C. Mallet, N. David
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Wavenet based low rate speech coding
, 2017 Traditional parametric coding of speech facilitates low rate but provides poor reconstruction quality because of the inadequacy of the model used. We describe how a WaveNet generative speech model can be used to generate high quality speech from the bit ...
Kleijn, W. Bastiaan +6 more
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An FPGA-Based Time-Domain Waveform Recognition Method Using Multi-Feature Voting Fusion
Applied SciencesIdentifying the time-domain waveform type under broadband conditions is a basic but very challenging task. Traditional methods based on frequency domain or training models generally have the problems of high resource consumption, large delay, and ...
Yiqi Tang, Zheng Li, Lin Zheng
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Reservoir computing with the frequency, phase and amplitude of spin-torque nano-oscillators
, 2018 Spin-torque nano-oscillators can emulate neurons at the nanoscale. Recent works show that the non-linearity of their oscillation amplitude can be leveraged to achieve waveform classification for an input signal encoded in the amplitude of the input ...
Araujo, Flavio Abreu +10 more
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Speech Processing in Computer Vision Applications [PDF]
, 2020 Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
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Classification of VLF/LF Lightning Signals Using Sensors and Deep Learning Methods
Sensors, 2020 Lightning waveform plays an important role in lightning observation, location, and lightning disaster investigation. Based on a large amount of lightning waveform data provided by existing real-time very low frequency/low frequency (VLF/LF) lightning ...
Jiaquan Wang +8 more
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Real-time Cardiac Massage Assessment Based on One-dimensional Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2020 For the assessment of the acceleration waveform of the external cardiac massage,the existing methods of calculating the depth of cardiac massage using the acceleration waveform integral have the problems of integral drift and error accumulation.On the ...
YIN Jiahao, LIU Shijie, BAO Yu, YANG Xuan, ZHU Ziwei
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