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E-grāmata: Text, Speech, and Dialogue: 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4-6, 2023, Proceedings

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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 46, 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.
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 Parkinsons Disease Classification.
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