Results 21 to 30 of about 42,978 (257)
A Direct Speech-to-Speech Neural Network Methodology for Spanish-English Translation [PDF]
EAI Endorsed Transactions on Energy Web, 2020 In this work, a novel direct speech-to-speech methodology for translation is proposed; it is based on an LSTMneural network structure which has proven useful for translation in the classical way, i.e., the one consistingof three stages: speech-to-text ...
Manuel Quintana, Miguel Bernal
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Neural Network Modelling of Speech Emotion Detection [PDF]
E3S Web of Conferences, 2021 In making the Machines Intelligent, and enable them to work as human, Speech recognition is one of the most essential requirement. Human Language conveys various types of information such as the energy, pitch, loudness, rhythm etc., in the sound, the ...
Sri Lalitha Y. +2 more
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Emotional Interactive Simulation System of English Speech Recognition in Virtual Context
Complexity, 2020 With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete, providing a new platform and perspective for teaching design.
Dan Li
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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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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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The Pattern Recognition Methods for Emotion Recognition with Speech Signal [PDF]
Journal of Control, Automation and Systems Engineering, 2006 In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition is determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features.
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