27th International Conference, TSD 2024, Brno, Czech Republic, September 9¿13, 2024, Proceedings, Part II Herausgegeben:Nöth, Elmar; Horák, Ales; Sojka, Petr
27th International Conference, TSD 2024, Brno, Czech Republic, September 9¿13, 2024, Proceedings, Part II Herausgegeben:Nöth, Elmar; Horák, Ales; Sojka, Petr
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
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:
.- 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.
.- 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.
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