Text, Speech, and Dialogue
Springer International Publishing (Verlag)
978-3-030-27946-2 (ISBN)
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.
| Erscheinungsdatum | 07.08.2019 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 414 p. 226 illus., 71 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 664 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Applications • Artificial Intelligence • Automatic speech recognition • classification • Computational Linguistics • Computer Science • conference proceedings • Databases • Informatics • Information Theory • Language Model • Learning Algorithms • Natural Language Processing (NLP) • Neural networks • Ontologies • Research • semantic information • Semantics • Signal Processing • Speech • Speech Analysis • Speech Perception • Speech processing • Speech Recognition • Speech Synthesis |
| ISBN-10 | 3-030-27946-4 / 3030279464 |
| ISBN-13 | 978-3-030-27946-2 / 9783030279462 |
| Zustand | Neuware |
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