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This reprint addresses the unique opportunities and challenges associated with human–computer interaction with intelligent systems. First, state-of-the-art reviews are presented about speech emotions, automatic spelling correction, and art usage in virtual reality. We encouraged authors to submit reports describing systems built for different languages and multilingual systems. The linguistic, emotional, prosodic, and dialogue aspects of speech communication are investigated. Special attention is given to sentiment and emotional analysis from text and speech. Speech audiometry, offline speech recognition, and text-independent speaker verification systems are elaborated. The rapidly growing domain of virtual reality applications is of interest both as an application domain in which new interfaces and interaction methods are needed and as a potential testbed for evaluating speech and other interface modalities.

Titel:	Human Computer Interaction for Intelligent Systems
Autor/in / Beteiligte Person:	Pleva, Matúš ; Liao, Yuan-Fu ; Bours, Patrick
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Medientyp:	E-Book
Umfang:	330
ISBN:	978-3-0365-6577-4 (print) ; 978-3-0365-6576-7 (print)
DOI:	10.3390/books978-3-0365-6576-7
Schlagwort:	pediatric speech audiometry hearing tests conditioned play audiometry human–computer interaction mechatronic devices Internet of Things cyber-physical systems system control augmented reality mixed reality Azure cloud sentiment analysis opinion classification lexicon-based approach hybrid approach lexicon generation lexicon labelling particle swarm optimization spelling correction natural language processing diacritization error model context model Natural Language Processing deep learning grammar error detection word embedding text-independent speaker verification system self-attentive pooling multi-layer aggregation feature recalibration deep length normalization speaker embedding shortcut connections convolutional neural networks ResNet human–robot interaction dictionary approach machine learning approach social robotics human-robot interaction mental workload heart rate variability machine learning sentiment level evaluation handicraft product 3D handicraft products smartphone applications user interaction user’s attracting attention question-answering forum healthcare informatics recommendation system user study speech emotion recognition attention mechanism recurrent neural network long short-term memory user experience usability evaluation methods domain usability domain-specific languages graphical user interfaces virtual reality art therapy rehabilitation neurorehabilitation neuroplasticity brain injury ASR speech-to-text edge AI Wav2Vec transformers PyTorch emotion recognition dimensional to categorical emotion representation mapping activation arousal and valence regression X-vectors SVM bic Book Industry Communication:T Technology, engineering, agriculture:TB Technology: general issues bic Book Industry Communication:T Technology, engineering, agriculture:TB Technology: general issues:TBX History of engineering & technology
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: image/jpeg Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20230307_9783036565774_34

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Human Computer Interaction for Intelligent Systems