Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Text, speech, and dialogue22nd Inter...
~
(1998 :)
Text, speech, and dialogue22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Text, speech, and dialogueedited by Kamil Ekstein.
Reminder of title:
22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
remainder title:
TSD 2019
other author:
Ekstein, Kamil.
corporate name:
Published:
Cham :Springer International Publishing :2019.
Description:
xix, 414 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Speech processing systemsHandbooks, manuals, etc.
Online resource:
https://doi.org/10.1007/978-3-030-27947-9
ISBN:
9783030279479$q(electronic bk.)
Text, speech, and dialogue22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
Text, speech, and dialogue
22nd 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 ;4891..
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$q(electronic bk.)
Standard No.: 10.1007/978-3-030-27947-9doiSubjects--Topical Terms:
436562
Speech processing systems
--Handbooks, manuals, etc.
LC Class. No.: QA76.9.N38
Dewey Class. No.: 006.35
Text, speech, and dialogue22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019 : proceedings /
LDR
:04034nmm a2200361 a 4500
001
586948
003
DE-He213
005
20200701104638.0
006
m d
007
cr nn 008maaau
008
210326s2019 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
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
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
$v
Handbooks, manuals, etc.
$3
436562
650
0
$a
Text processing (Computer science)
$3
210527
650
1 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Database Management.
$3
273994
650
2 4
$a
Mathematical Logic and Formal Languages.
$3
275383
650
2 4
$a
Coding and Information Theory.
$3
273763
700
1
$a
Ekstein, Kamil.
$3
841057
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
830
0
$a
Lecture notes in artificial intelligence.
$3
822012
856
4 0
$u
https://doi.org/10.1007/978-3-030-27947-9
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000190733
電子館藏
1圖書
電子書
EB QA76.9.N38 I61 2019 2019
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-27947-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login