LEADER 04191nam 22008535 450 001 9910506408903321 005 20251225175122.0 010 $a3-030-89579-3 024 7 $a10.1007/978-3-030-89579-2 035 $a(CKB)4950000000281553 035 $a(MiAaPQ)EBC6784264 035 $a(Au-PeEL)EBL6784264 035 $a(OCoLC)1277149123 035 $z(PPN)258846941 035 $a(PPN)258296461 035 $a(BIP)81914093 035 $a(BIP)81626169 035 $a(DE-He213)978-3-030-89579-2 035 $a(EXLCZ)994950000000281553 100 $a20211016d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Language and Speech Processing $e9th International Conference, SLSP 2021, Virtual Event, November 22-26, 2021, Proceedings /$fedited by Luis Espinosa-Anke, Carlos Martín-Vide, Irena Spasi? 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (119 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13062 311 08$a3-030-89578-5 320 $aIncludes bibliographical references and index. 327 $aLanguage -- Improving German Image Captions using Machine Translation and Transfer Learning -- Automatic News Article Generation from Legislative Proceedings: A Phenom-based Approach -- Comparison of Czech Transformers on Text Classification Tasks -- Constructing Sentiment Lexicon with Game for Annotation Collection -- Robustness of Named Entity Recognition: Case of Latvian -- Speech -- Use of Speaker Metadata for Improving Automatic Pronunciation Assessment -- Augmenting ASR for user-generated videos with semi-supervised training and acoustic model adaptation for Spoken Content Retrieval -- Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel Invariant Representation Learning for Robust Far-Field Speaker Recognition. 330 $aThis book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13062 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aComputer Engineering and Networks 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Engineering and Networks. 676 $a006.35 702 $aEspinosa-Anke$b Luis 702 $aMarti?n Vide$b Carlos 702 $aSpasic?$b Irena 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910506408903321 996 $aStatistical language and speech processing$91972604 997 $aUNINA