001476346 000__ 06604cam\\22007577i\4500
001476346 001__ 1476346
001476346 003__ OCoLC
001476346 005__ 20231003174644.0
001476346 006__ m\\\\\o\\d\\\\\\\\
001476346 007__ cr\cn\nnnunnun
001476346 008__ 230829s2023\\\\sz\\\\\\o\\\\\001\0\eng\d
001476346 019__ $$a1395067223$$a1395180620
001476346 020__ $$a9783031404986$$q(electronic bk.)
001476346 020__ $$a303140498X$$q(electronic bk.)
001476346 020__ $$z9783031404979$$q(print)
001476346 020__ $$z3031404971
001476346 0247_ $$a10.1007/978-3-031-40498-6$$2doi
001476346 035__ $$aSP(OCoLC)1395507133
001476346 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCQ$$dOCLCO
001476346 049__ $$aISEA
001476346 050_4 $$aQA76.9.N38
001476346 08204 $$a006.3/5$$223/eng/20230829
001476346 1112_ $$aTSD (Conference)$$n(26th :$$d2023 :$$cPlzeň, Czech Republic)
001476346 24510 $$aText, speech, and dialogue :$$b26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4-6, 2023, Proceedings /$$cKamil Ekštein, František Pártl, Miloslav Konopík, editors.
001476346 2463_ $$aTSD 2023
001476346 264_1 $$aCham :$$bSpringer,$$c2023.
001476346 300__ $$a1 online resource (xxx, 362 pages) :$$billustrations (some color).
001476346 336__ $$atext$$btxt$$2rdacontent
001476346 337__ $$acomputer$$bc$$2rdamedia
001476346 338__ $$aonline resource$$bcr$$2rdacarrier
001476346 4901_ $$aLecture notes in artificial intelligence
001476346 4901_ $$aLecture notes in computer science ;$$v14102
001476346 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001476346 500__ $$aIncludes author index.
001476346 5050_ $$aText: Japanese How-to Tip Machine Reading Comprehension by Multi-task Learning based on Generative Model -- One model to rule them all: ranking Slovene summarizers -- Searching for Reasons of Transformers' Success: Memorization vs Generalization -- A Dataset and Strong Baselines for Classification of Czech News Texts -- Resolving Hungarian Anaphora with ChatGPT -- Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines -- ParaDiom - A Parallel Corpus of Idiomatic Texts -- Measuring Sentiment Bias in Machine Translation -- Mono- and multilingual GPT-3 models for Hungarian -- The Unbearable Lightness of Morph Classification -- A German Parallel Clausal Coordinate Ellipsis Corpus that Aligns Sentences from the TüBa-D/Z Treebank with Reconstructed Canonical Forms -- Speech: Identifying Subjects Wearing a Mask from the Speech by Means of Encoded Speech Representations -- Impact of Including Pathological Speech in Pre-Training on Pathology Detection -- Morphological Tagging and Lemmatization of Spoken Corpora of Czech -- HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics -- Online Speaker Diarization Using Optimized SE-ResNet Architecture -- CML-TTS: A Multilingual Dataset for Speech Synthesis in Low-Resource Languages (Speech (in general), Corpora and Language Resources, Spe -- Developing State-of-the-Art End-to-End ASR for Norwegian -- VITS: Quality vs. Speed Analysis -- When Whisper Meets TTS: Domain Adaptation Using Only Synthetic Speech Data -- Unsupervised Learning for Automatic Speech Recognition In Air Traffic Control Environment -- The Effect of Human-Likeliness in French Robot-Directed Speech: A Study of Speech Rate and Fluency -- An online diarization approach for streaming applications based on tree-clustering and Bayesian resegmentation -- Evaluation of Speech Representations for MOS prediction -- Unified Modeling of Multi-Domain Multi-Device ASR Systems -- Voice Cloning for Voice Disorders: Impact of Phonetic Content -- Towards End-to-end Speech-to-text Summarization -- Multilingual TTS Accent Impressions for Accented ASR -- Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak -- Automatic Pronunciation Assessment of Non-native English based on Phonological Analysis -- Language Generalization using Active Learning in the context of Parkinson’s Disease Classification.
001476346 506__ $$aAccess limited to authorized users.
001476346 520__ $$aThis book constitutes the refereed proceedings of the 26th International Conference on Text, Speech, and Dialogue, TSD 2023, held in Pilsen, Czech Republic, during September 4-6, 2023. The 31 full papers presented together with the abstracts of 3 keynote talks were carefully reviewed and selected from 64 submissions. The conference attracts researchers not only from Central and Eastern Europe but also from other parts of the world. One of its goals has always been bringing together NLP researchers with various interests from different parts of the world and promoting their cooperation. One of the ambitions of the conference is, not only to deal with dialogue systems but also to improve dialogue among researchers in areas of NLP, i.e., among the "text" and the "speech" and the "dialogue" people.
001476346 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 29, 2023).
001476346 650_0 $$aNatural language processing (Computer science)$$vCongresses.
001476346 650_0 $$aSpeech processing systems$$vCongresses.
001476346 650_0 $$aText processing (Computer science)$$vCongresses.
001476346 650_6 $$aTraitement automatique des langues naturelles$$vCongrès.
001476346 650_6 $$aTraitement automatique de la parole$$vCongrès.
001476346 650_6 $$aTraitement de texte$$vCongrès.
001476346 655_0 $$aElectronic books.
001476346 7001_ $$aEkštein, Kamil,$$eeditor.$$1https://orcid.org/0000-0003-3631-5111
001476346 7001_ $$aPártl, František,$$eeditor.$$1https://orcid.org/0000-0001-7769-7457
001476346 7001_ $$aKonopík, Miloslav,$$eeditor.$$1https://orcid.org/0000-0001-7397-1658
001476346 77608 $$iPrint version: $$z3031404971$$z9783031404979$$w(OCoLC)1389340037
001476346 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001476346 830_0 $$aLecture notes in computer science ;$$v14102.
001476346 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001476346 852__ $$bebk
001476346 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40498-6$$zOnline Access$$91397441.1
001476346 909CO $$ooai:library.usi.edu:1476346$$pGLOBAL_SET
001476346 980__ $$aBIB
001476346 980__ $$aEBOOK
001476346 982__ $$aEbook
001476346 983__ $$aOnline
001476346 994__ $$a92$$bISE