東華大學圖書館 |

Text, speech, and dialogue = 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Text, speech, and dialogue/ edited by Kamil Ekstein.
其他題名:	22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
其他題名:	TSD 2019
其他作者:	Ekstein, Kamil.
團體作者:	International Conference on Text, Speech, and Dialogue
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xix, 414 p. :ill. (some col.), digital ;24 cm.
內容註:	Speech Processing and Prosody -- Using a Database of Multiword Expressions in Dependency Parsing Explicit Discourse Argument Extraction for German -- Consonance as a Stylistic Feature for Authorship Attribution of Historical Texts -- Bidirectional LSTM Tagger for Latvian Grammatical Error Detection -- Testing Features for Assessing Theme Adherence in Student Thesis -- Natural language analysis to detect Parkinson's disease -- Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion -- The FRENK datasets of socially unacceptable discourse in Slovene and English -- KAS-term: Extracting Slovene terms via supervised machine learning -- Self-Organizing Feature Map for Arabic Word Extraction. -Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER -- A Privacy Policy Dataset for GDPR compliance -- A semi-automatic structure learning method for language modeling -- Coreference in English OntoNotes: Properties and Genre Differences -- Cross-Sentence Alignment with Deep Neural Networks -- Exploiting Large Unlabeled Data in Automatic Evaluation of Coherence in Czech -- Structure of Representation in Word Embeddings -- Semantic Structure of Russian Prepositional Constructions -- Explicit and implicit discourse relations -- On Practical Aspects of Multi-Condition Training based on Augmentation for Reverberation-/Noise-Robust Speech Recognition -- Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States -- Deep Representation Learning for Orca Call Type Classification -- On Using Stateful LSTM Networks for Key-phrase Detection -- Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users -- Czech Speech Synthesis with Generative Neural Vocoder -- Linguistic Resources Construction: Towards Disfluency Processing in Spontaneous Tunisian Dialect Speech -- Comparing Front-end Enhancement Techniques and Multiconditioned Training for Robust Automatic Speech Recognition -- Label-Driven T-F Masking For Robust Speech Command Recognition -- A Comparison of Hybrid and End-to-End Models for Syllable Recognition -- LSTM-based Speech Segmentation for TTS Synthesis -- Spoken language identification using Language Bottleneck Features -- Question-Answering Dialog System for Large Audiovisual Archives -- Crowd-sourced Collection of Task-Oriented Human-Human Dialogues in a Multi-Domain Scenario.
Contained By:	Springer Nature eBook
標題:	Speech processing systems - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-27947-9
ISBN:	9783030279479

Text, speech, and dialogue = 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
Text, speech, and dialogue22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /[electronic resource] :TSD 2019edited by Kamil Ekstein. - Cham :Springer International Publishing :2019. - xix, 414 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,116970302-9743 ;. - Lecture notes in computer science ;11697..

Speech Processing and Prosody -- Using a Database of Multiword Expressions in Dependency Parsing Explicit Discourse Argument Extraction for German -- Consonance as a Stylistic Feature for Authorship Attribution of Historical Texts -- Bidirectional LSTM Tagger for Latvian Grammatical Error Detection -- Testing Features for Assessing Theme Adherence in Student Thesis -- Natural language analysis to detect Parkinson's disease -- Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion -- The FRENK datasets of socially unacceptable discourse in Slovene and English -- KAS-term: Extracting Slovene terms via supervised machine learning -- Self-Organizing Feature Map for Arabic Word Extraction. -Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER -- A Privacy Policy Dataset for GDPR compliance -- A semi-automatic structure learning method for language modeling -- Coreference in English OntoNotes: Properties and Genre Differences -- Cross-Sentence Alignment with Deep Neural Networks -- Exploiting Large Unlabeled Data in Automatic Evaluation of Coherence in Czech -- Structure of Representation in Word Embeddings -- Semantic Structure of Russian Prepositional Constructions -- Explicit and implicit discourse relations -- On Practical Aspects of Multi-Condition Training based on Augmentation for Reverberation-/Noise-Robust Speech Recognition -- Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States -- Deep Representation Learning for Orca Call Type Classification -- On Using Stateful LSTM Networks for Key-phrase Detection -- Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users -- Czech Speech Synthesis with Generative Neural Vocoder -- Linguistic Resources Construction: Towards Disfluency Processing in Spontaneous Tunisian Dialect Speech -- Comparing Front-end Enhancement Techniques and Multiconditioned Training for Robust Automatic Speech Recognition -- Label-Driven T-F Masking For Robust Speech Command Recognition -- A Comparison of Hybrid and End-to-End Models for Syllable Recognition -- LSTM-based Speech Segmentation for TTS Synthesis -- Spoken language identification using Language Bottleneck Features -- Question-Answering Dialog System for Large Audiovisual Archives -- Crowd-sourced Collection of Task-Oriented Human-Human Dialogues in a Multi-Domain Scenario.

This book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length.

ISBN: 9783030279479

Standard No.: 10.1007/978-3-030-27947-9doiSubjects--Topical Terms:

678615
Speech processing systems
--Congresses.

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

Text, speech, and dialogue = 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
LDR:04034nmm a2200361 a 4500 001 2242936
003 DE-He213
005 20200701104638.0
006 m d
007 cr nn 008maaau
008 211207s2019 sz s 0 eng d
020 $a 9783030279479 $q (electronic bk.)
020 $a 9783030279462 $q (paper)
024 7 $a 10.1007/978-3-030-27947-9 $2 doi
035 $a 978-3-030-27947-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N38
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.35 $2 23
090 $a QA76.9.N38 $b I61 2019
111 2 $a International Conference on Text, Speech, and Dialogue $n (22nd : $d 2019 : $c Ljubljana, Slovenia) $3 3502673
245 1 0 $a Text, speech, and dialogue $h [electronic resource] : $b 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings / $c edited by Kamil Ekstein.
246 3 $a TSD 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xix, 414 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11697
490 1 $a Lecture notes in artificial intelligence
505 0 $a Speech Processing and Prosody -- Using a Database of Multiword Expressions in Dependency Parsing Explicit Discourse Argument Extraction for German -- Consonance as a Stylistic Feature for Authorship Attribution of Historical Texts -- Bidirectional LSTM Tagger for Latvian Grammatical Error Detection -- Testing Features for Assessing Theme Adherence in Student Thesis -- Natural language analysis to detect Parkinson's disease -- Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion -- The FRENK datasets of socially unacceptable discourse in Slovene and English -- KAS-term: Extracting Slovene terms via supervised machine learning -- Self-Organizing Feature Map for Arabic Word Extraction. -Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER -- A Privacy Policy Dataset for GDPR compliance -- A semi-automatic structure learning method for language modeling -- Coreference in English OntoNotes: Properties and Genre Differences -- Cross-Sentence Alignment with Deep Neural Networks -- Exploiting Large Unlabeled Data in Automatic Evaluation of Coherence in Czech -- Structure of Representation in Word Embeddings -- Semantic Structure of Russian Prepositional Constructions -- Explicit and implicit discourse relations -- On Practical Aspects of Multi-Condition Training based on Augmentation for Reverberation-/Noise-Robust Speech Recognition -- Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States -- Deep Representation Learning for Orca Call Type Classification -- On Using Stateful LSTM Networks for Key-phrase Detection -- Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users -- Czech Speech Synthesis with Generative Neural Vocoder -- Linguistic Resources Construction: Towards Disfluency Processing in Spontaneous Tunisian Dialect Speech -- Comparing Front-end Enhancement Techniques and Multiconditioned Training for Robust Automatic Speech Recognition -- Label-Driven T-F Masking For Robust Speech Command Recognition -- A Comparison of Hybrid and End-to-End Models for Syllable Recognition -- LSTM-based Speech Segmentation for TTS Synthesis -- Spoken language identification using Language Bottleneck Features -- Question-Answering Dialog System for Large Audiovisual Archives -- Crowd-sourced Collection of Task-Oriented Human-Human Dialogues in a Multi-Domain Scenario.
520 $a This book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length.
650 0 $a Speech processing systems $x Congresses. $3 678615
650 0 $a Text processing (Computer science) $v Congresses. $3 880608
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Database Management. $3 891010
650 2 4 $a Mathematical Logic and Formal Languages. $3 892517
650 2 4 $a Coding and Information Theory. $3 891252
700 1 $a Ekstein, Kamil. $3 3409857
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 11697. $3 3502674
830 0 $a Lecture notes in artificial intelligence. $3 3382562
856 4 0 $u https://doi.org/10.1007/978-3-030-27947-9
950 $a Computer Science (SpringerNature-11645)