Text, Speech, and Dialogue

Language: English

Published by Springer, Springer Aug 2019, 2019

3030279464 / 9783030279462

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This item is printed on demand - Print on Demand Titel. Neuware -Speech Processing and Prosody.- Using a Database of Multiword Expressions in Dependency ParsingExplicit 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 436 pp. Englisch.…

Seller Inventory # 9783030279462

Title
Text, Speech, and Dialogue
Author
Kamil Ek¿tein
Publisher
Springer, Springer Aug 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030279464
ISBN 13
9783030279462
Item weight
657 grams
Dimensions
235x155x24 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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