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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 28 of 28 21 A Method of Speech Coding for Speech Recognition Using a Convolutional Neural Network Mariusz Kubanek; Janusz Bobulski; Joanna Kulawik In: Symmetry ; Volume 11 ; Issue 9 (2019) Abstract: This work presents a new approach to speech recognition, based on the specific coding of time and frequency characteristics of speech. The research proposed the use of convolutional neural networks because, as we know, they show high resistance to cross-spectral distortions and differences in the length of the vocal tract. Until now, two layers of time convolution and frequency convolution were used. A novel idea is to weave three separate convolution layers: traditional time convolution and the introduction of two different frequency convolutions (mel-frequency cepstral coefficients (MFCC) convolution and spectrum convolution). This application takes into account more details contained in the tested signal. Our idea assumes creating patterns for sounds in the form of RGB (Red, Green, Blue) images. The work carried out research for isolated words and continuous speech, for neural network structure. A method for dividing continuous speech into syllables has been proposed. This method can be used for symmetrical stereo sound. Keyword: convolutional neural network; deep learning; speech recognition URL: https://doi.org/10.3390/sym11091185 BASE Hide details 22 Acoustic event, spoken keyword and emotional outburst detection Xu, Yijia. - 2019 BASE Show details 23 Feature Selection for Sentiment Analysis of Swedish News Article Titles ; Val av datarepresentation för sentimentsanalys av svenska nyhetsrubriker Dahl, Jonas. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018 BASE Show details 24 Fault Diagnosis Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System Wenxin Yu; Shoudao Huang; Weihong Xiao In: Energies ; Volume 11 ; Issue 10 (2018) BASE Show details 25 Multi-dialect Arabic broadcast speech recognition Ali, Ahmed Mohamed Abdel Maksoud. - : The University of Edinburgh, 2018 BASE Show details 26 Speech Emotion Recognition using Convolutional Neural Networks Shahsavarani, Somayeh In: Computer Science and Engineering: Theses, Dissertations, and Student Research (2018) BASE Show details 27 Text Recognition in Multimedia Documents: A Study of two Neural-based OCRs Using and Avoiding Character Segmentation Elagouni, Khaoula; Garcia, Christophe; Mamalet, Franck... In: ISSN: 1433-2833 ; EISSN: 1433-2825 ; International Journal on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-00867225 ; International Journal on Document Analysis and Recognition, Springer Verlag, 2014, 17 (1), pp.19-31. ⟨10.1007/s10032-013-0202-7⟩ (2014) BASE Show details 28 User-Level Psychological Stress Detection from Social Media Using Deep Neural Network In: http://hcsi.cs.tsinghua.edu.cn/Paper/paper14/HuijieLin_MM2014.pdf BASE Show details Page: 1 2

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