| 000 | 05247naaaa2201393uu 4500 | ||
|---|---|---|---|
| 003 | BUT | ||
| 005 | 20230413170839.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202304s2023 x |||||o ||||eng|| d | ||
| 020 | _a9783036565774 | ||
| 020 | _a9783036565767 | ||
| 040 |
_aoapen _coapen |
||
| 041 | 0 | _aeng | |
| 080 | _a004.8 | ||
| 100 | 1 |
_aPleva, Matúš _4edt |
|
| 245 | 1 | 0 | _aHuman Computer Interaction for Intelligent Systems |
| 260 |
_aBasel _bMDPI - Multidisciplinary Digital Publishing Institute _c2023 |
||
| 300 | _a1 electronic resource (330 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThis 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc |
||
| 546 | _aEnglish | ||
| 650 | 0 |
_aИскусственный интеллект _94518 |
|
| 653 | _apediatric speech audiometry | ||
| 653 | _ahearing tests | ||
| 653 | _aconditioned play audiometry | ||
| 653 | _ahuman–computer interaction | ||
| 653 | _amechatronic devices | ||
| 653 | _aInternet of Things | ||
| 653 | _acyber-physical systems | ||
| 653 | _asystem control | ||
| 653 | _aaugmented reality | ||
| 653 | _amixed reality | ||
| 653 | _aAzure cloud | ||
| 653 | _asentiment analysis | ||
| 653 | _aopinion classification | ||
| 653 | _alexicon-based approach | ||
| 653 | _ahybrid approach | ||
| 653 | _alexicon generation | ||
| 653 | _alexicon labelling | ||
| 653 | _aparticle swarm optimization | ||
| 653 | _aspelling correction | ||
| 653 | _anatural language processing | ||
| 653 | _adiacritization | ||
| 653 | _aerror model | ||
| 653 | _acontext model | ||
| 653 | _aNatural Language Processing | ||
| 653 | _adeep learning | ||
| 653 | _agrammar error detection | ||
| 653 | _aword embedding | ||
| 653 | _atext-independent speaker verification system | ||
| 653 | _aself-attentive pooling | ||
| 653 | _amulti-layer aggregation | ||
| 653 | _afeature recalibration | ||
| 653 | _adeep length normalization | ||
| 653 | _aspeaker embedding | ||
| 653 | _ashortcut connections | ||
| 653 | _aconvolutional neural networks | ||
| 653 | _aResNet | ||
| 653 | _ahuman–robot interaction | ||
| 653 | _adictionary approach | ||
| 653 | _amachine learning approach | ||
| 653 | _asocial robotics | ||
| 653 | _ahuman-robot interaction | ||
| 653 | _amental workload | ||
| 653 | _aheart rate variability | ||
| 653 | _amachine learning | ||
| 653 | _asentiment level evaluation | ||
| 653 | _ahandicraft product | ||
| 653 | _a3D handicraft products | ||
| 653 | _asmartphone applications | ||
| 653 | _auser interaction | ||
| 653 | _auser’s attracting attention | ||
| 653 | _aquestion-answering forum | ||
| 653 | _ahealthcare informatics | ||
| 653 | _arecommendation system | ||
| 653 | _auser study | ||
| 653 | _aspeech emotion recognition | ||
| 653 | _aattention mechanism | ||
| 653 | _arecurrent neural network | ||
| 653 | _along short-term memory | ||
| 653 | _auser experience | ||
| 653 | _ausability evaluation methods | ||
| 653 | _adomain usability | ||
| 653 | _adomain-specific languages | ||
| 653 | _agraphical user interfaces | ||
| 653 | _avirtual reality | ||
| 653 | _aart therapy | ||
| 653 | _arehabilitation | ||
| 653 | _aneurorehabilitation | ||
| 653 | _aneuroplasticity | ||
| 653 | _abrain injury | ||
| 653 | _aASR | ||
| 653 | _aspeech-to-text | ||
| 653 | _aedge AI | ||
| 653 | _aWav2Vec | ||
| 653 | _atransformers | ||
| 653 | _aPyTorch | ||
| 653 | _aemotion recognition | ||
| 653 | _adimensional to categorical emotion representation mapping | ||
| 653 | _aactivation | ||
| 653 | _aarousal and valence regression | ||
| 653 | _aX-vectors | ||
| 653 | _aSVM | ||
| 653 | _an/a | ||
| 700 | 1 |
_aLiao, Yuan-Fu _4edt |
|
| 700 | 1 |
_aBours, Patrick _4edt |
|
| 700 | 1 |
_aPleva, Matúš _4oth |
|
| 700 | 1 |
_aLiao, Yuan-Fu _4oth |
|
| 700 | 1 |
_aBours, Patrick _4oth |
|
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/6751 _70 _zDownload |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/98744 _70 _zDescription |
| 909 |
_c255 _dRobiyakhon Olimjonova |
||
| 942 |
_2udc _cEE |
||
| 999 |
_c6456 _d6456 |
||