Text, Speech, and Dialogue : 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024, Proceedings, Part II (Lecture Notes in Artificial Intelligence) （2024）

Nöth, Elmar (EDT)/ Horák, Aleš (EDT)/ Sojka, Petr (EDT)

Springer International Publishing AG（2024/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 326 p.
• 言語 ENG
• 商品コード 9783031705656

Full Description

The two-volume set LNAI 15048 and 15049 constitutes the refereed proceedings of the 27th International Conference on Text, Speech, and Dialogue, TSD 2024, held in Brno, Czech Republic, during September 9-13, 2024.

The 50 revised full papers presented in these deadline proceedings were carefully reviewed and selected from 103 submissions. 

The papers are organized in the following topical sections:

Part I: Text

Part II: Speech, Dialogue

Contents

.- Speech.

.- Retrieval Augmented Spoken Language Generation for Transport Domain.

.- Adapting Audiovisual Speech Synthesis to Estonian.

.- Dysphonia Diagnosis Using Self-Supervised Speech Models in Mono- and Cross-Lingual Settings.

.- Sentences vs Phrases in Neural Speech Synthesis.

.- Zero-Shot vs. Few-Shot Multi-Speaker TTS Using Pre-trained Czech SpeechT5 Model.

.- Deep Speaker Embeddings for Speaker Verification of Children.

.- Improved Alignment for Score Combination of RNN-T and CTC Decoder for Online Decoding.

.- Attention to Phonetics: A Visually Informed Explanation of Speech Transformers.

.- Effects of Training Strategies and the Amount of Speech Data on the Quality of Speech Synthesis.

.- Stream-Based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning.

.- Data Alignment and Duration Modelling in VITS.

.- Multiword Expressions Resources for Italian: Presenting a Manually Annotated Spoken Corpus.

.- Generating High-Quality F0 Embeddings Using the Vector-Quantized Variational Autoencoder.

.- Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation.

.- X-vector-based Speaker Diarization Using Bi-LSTM and Interim Voting-driven Post-processing.

.- A Paradigm for Interpreting Metrics and Measuring Error Severity in Automatic Speech Recognition.

.- Enhancing Speech Emotion Recognition Using Transfer Learning From Speaker Embeddings.

.- Dialogue.

.- Investigating Low-Cost LLM Annotation for Spoken Dialogue Understanding Datasets.

.- PiCo-VITS: Leveraging Pitch Contours for Fine-grained Emotional Speech Synthesis.

.- Improving and Understanding Clarifying Question Generation in Conversational Search.

.- Explainable Multimodal Fusion for Dementia Detection From Text and Speech.

.- Robust Classification of Parkinson's Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions.

.- Leveraging Conceptual Similarities to Enhance Modeling of Factors Affecting Adolescents' Well-Being.

.- Joint-Average Mean and Variance Feature Matching (JAMVFM) Semi-supervised GAN with Additional-Objective Training Function for Intent Detection.

.- Capturing Task-Related Information for Text-Based Grasp Classification Using Fine-Tuned Embeddings.

.- StepDP: A Step Towards Expressive and Pervasive Dialogue Platforms .

.- Automatic Classification of Parkinson's Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels.