Results 11 to 20 of about 545,718 (303)
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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Incremental learning in autonomous systems: evolving connectionist systems for on-line image and speech recognition [PDF]
, 2009 The paper presents an integrated approach to incremental learning in autonomous systems, that includes both pattern recognition and feature selection. The approach utilizes evolving connectionist systems (ECoS) and is applied on on-line image and speech ...
Kasabov, N, Pang, P., Zhang, D.
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A Speech Recognizer based on Multiclass SVMs with HMM-Guided Segmentation [PDF]
, 2006 Automatic Speech Recognition (ASR) is essentially a problem of pattern classification, however, the time dimension of the speech signal has prevented to pose ASR as a simple static classification problem. Support Vector Machine (SVM) classifiers could
Bernal Chaves, J. +4 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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Pattern recognition in speech processing [PDF]
The Journal of the Acoustical Society of America, 1984 The determination of linguistic structure from surface patterns in text and speech requires the integration of cues from multiple constraint domains including phonetic features, syllable and morpheme structure, syntax, and semantics together with pragmatics.
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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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Frontiers in Psychology, 2022 In the process of communication between people, everyone will have emotions, and different emotions will have different effects on communication. With the help of external performance information accompanied by emotional expression, such as emotional ...
Huihui Zhou, Zheng Liu, Zheng Liu
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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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Using Speech Signal for Emotion Recognition Using Hybrid Features with SVM Classifier
Wasit Journal of Computer and Mathematics Science, 2023 Emotion recognition is a hot topic that has received a lot of attention and study,owing to its significance in a variety of fields, including applications needing human-computer interaction (HCI).
Fatima A.Hammed, Loay George
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