Text, Speech, and Dialogue (Record no. 179339)

MARC details
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fixed length control field 05340nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-40498-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125549.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031404986
-- 978-3-031-40498-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-40498-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Text, Speech, and Dialogue
Medium [electronic resource] :
Remainder of title 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings /
Statement of responsibility, etc edited by Kamil Ekštein, František Pártl, Miloslav Konopík.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XXX, 362 p. 71 illus., 67 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 14102
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Text: 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 ofSpeech 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.
520 ## - SUMMARY, ETC.
Summary, etc This 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ekštein, Kamil.
Relator term editor.
Relator code edt
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pártl, František.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Konopík, Miloslav.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031404979
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031404993
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 14102
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-40498-6">https://doi.org/10.1007/978-3-031-40498-6</a>
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Koha item type eBooks-CSE-Springer

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