Results 21 to 30 of about 4,056,243 (258)
Rapid face recognition using hashing [PDF]
, 2010 We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua +8 more
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5
Journal of Computer Networks and Communications, 2022 Convolutional neural network (CNN) is a very important method in deep learning, which solves many complex pattern recognition problems. Fruitful results have been achieved in image recognition, speech recognition, and natural language processing ...
Lijie Zhou, Weihai Yu
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Public Governance, Administration and Finances Law Review, 2022 Pattern recognition, machine learning and artificial intelligence offer tremendous opportunities for efficient operations, management and governance. They can optimise processes for object, text, graphics, speech and pattern recognition.
Michael Losavio
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Sparse distributed localized gradient fused features of objects [PDF]
, 2015 The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition ...
Pappachen James, Alex +2 more
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SVMs for Automatic Speech Recognition: a Survey [PDF]
, 2007 Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen +8 more
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Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System
The Scientific World Journal, 2015 The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of ...
Pavol Partila +2 more
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Development of Artificial Intelligence and Prospects for Its Application
Экономика и управление, 2021 Aim. To analyze the concept of “artificial intelligence”, to justify the effectiveness of using artificial intelligence technologies.Tasks. To study the conceptual apparatus; to propose and justify the author’s definition of the “artificial intelligence”
V. Ya. Dmitriev +2 more
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Hybrid methodological approach to context-dependent speech recognition
International Journal of Advanced Robotic Systems, 2017 Although the importance of contextual information in speech recognition has been acknowledged for a long time now, it has remained clearly underutilized even in state-of-the-art speech recognition systems.
Dragiša Mišković +5 more
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JOIV: International Journal on Informatics Visualization, 2023 Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice ...
Sudi Mariyanto Al Sasongko +3 more
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Isolated word recognition system development
Lietuvos Matematikos Rinkinys, 2003 Isolated word recognition system, based on dynamic time warping, was developed. Speech patterns are represented by LPC, cepstral and weighted cepstral coefficients.
Gintautas Tamulevičius, Antanas Lipeika
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