Results 1 to 10 of about 545,718 (303)
Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System [PDF]
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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The effect of speech pathology on automatic speaker verification: a large-scale study
Scientific Reports, 2023 Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutions, they come with inherent risks of potential unintended exposure of ...
Soroosh Tayebi Arasteh +5 more
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Applying Artificial Neural Networks In Construction [PDF]
E3S Web of Conferences, 2020 Currently, artificial neural networks (ANN) are used to solve the following complex problems: pattern recognition, speech recognition, complex forecasts and others.
Doroshenko Anna
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Dental loop SnP: Speech and phonetic pattern recognition
SoftwareX, 2023 Dental Loop SnP represents a pioneering python-based software application tailored to analyse phonetic speech patterns in patients and research. By extracting audio from video recordings that capture patients speaking, the software applies an AI-driven ...
Taseef Hasan Farook +3 more
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Performance Analysis: AI-based VIST Audio Player by Microsoft Speech API
Kurdistan Journal of Applied Research, 2021 Speech recognition has gained much attention from researchers for almost last two decades. Isolated words, connected words, and continuous speech are the main focused areas of speech recognition.
Ribwar Bakhtyar Ibrahim
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SPEECH RECOGNITION SYSTEMS – A COMPREHENSIVE STUDY OF CONCEPTS AND MECHANISM [PDF]
Acta Informatica Malaysia, 2019 Speech Recognition Systems now-a-days use many interdisciplinary technologies ranging from Pattern Recognition, Signal Processing, Natural Language Processing implementing to unified statistical framework.
Neha Jain, Somya Rastogi
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Frontiers in Computational Neuroscience, 2022 IntroductionIn recent years, machines powered by deep learning have achieved near-human levels of performance in speech recognition. The fields of artificial intelligence and cognitive neuroscience have finally reached a similar level of performance ...
Cai Wingfield +9 more
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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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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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