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Text, speech, and dialogue = 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedingss.. Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Text, speech, and dialogue/ edited by Elmar Nöth, Aleš Horák, Petr Sojka.
其他題名:	27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedingss.
其他題名:	TSD 2024
其他作者:	Nöth, Elmar.
團體作者:	TSD (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xvii, 326 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Natural language processing (Computer science) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-70566-3
ISBN:	9783031705663

Text, speech, and dialogue = 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedingss.. Part II /
Text, speech, and dialogue27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedingss.Part II /[electronic resource] :TSD 2024edited by Elmar Nöth, Aleš Horák, Petr Sojka. - Cham :Springer Nature Switzerland :2024. - xvii, 326 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,150490302-9743 ;. - Lecture notes in computer science ;15049..

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.

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.

ISBN: 9783031705663

Standard No.: 10.1007/978-3-031-70566-3doiSubjects--Topical Terms:

752585
Natural language processing (Computer science)
--Congresses.

LC Class. No.: QA76.9.N38 / T73 2024

Dewey Class. No.: 006.35

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