Results 11 to 20 of about 46,840 (304)
Pattern Recognition Methods for Emotion Recognition with speech signal
International Journal of Fuzzy Logic and Intelligent Systems, 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 tor emotion recognition are determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features.
Chang-Hyun Park, Kwee-Bo Sim
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Visual Implicit Learning and Speech Recognition in Adult Post-Lingual Cochlear Implant Users [PDF]
Trends in HearingImplicit learning is thought to play an important role in speech recognition under challenging conditions. However, auditory deprivation has been proposed to influence implicit learning, including in the visual modality, although evidence in adults with ...
Ranin Khayr, Riyad Khnifes, Karen Banai
doaj +2 more sources
Speech signal analysis and pattern recognition in diagnosis of dysarthria
Annals of Indian Academy of Neurology, 2017 Background: Dysarthria refers to a group of disorders resulting from disturbances in muscular control over the speech mechanism due to damage of central or peripheral nervous system.
Minu George Thoppil +3 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
doaj +1 more source
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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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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