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Text, Speech, and Dialogue : 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part II / / edited by Kamil Ekštein, Miloslav Konopík, Ondřej Pražák, František Pártl
| Text, Speech, and Dialogue : 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part II / / edited by Kamil Ekštein, Miloslav Konopík, Ondřej Pražák, František Pártl |
| Autore | Ekstein Kamil |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (541 pages) |
| Disciplina | 006.35 |
| Altri autori (Persone) |
KonopíkMiloslav
PražákOndřej PártlFrantisek |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Natural Language Processing (NLP) |
| ISBN | 3-032-02551-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Text. -- Product Recommendation with Prospect Theoretic Self-Aligned LLM Systems. -- Tracking Mental Health Indicators on Social Media Before and After Diagnosis. -- Large Language Models for Czech Aspect-Based Sentiment Analysis. -- Few-shot Cross-lingual Aspect-Based Sentiment Analysis with Sequence-to-Sequence Models. -- Flexing in 73 Languages: A Single Small Model for Multilingual Inflection. -- Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment. -- Refining Czech GEC: Insights from a Multi-Experiment Approach. -- Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language. -- CRNLI: A Textual Entailment Dataset in the Chemistry Domain. -- Scale-Free Characteristics of Legal Texts and the Limitations of LLMs. -- Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders. -- Toward Quantifying How The Burden of Problems Reported By Patients Evolves in Parkinson's Disease: An Exploratory Analysis. -- Computing Patient Similarity Based on Unstructured Clinical Notes. -- Enhancing ASR Accuracy for Speakers with Parkinson’s Disease Using Instruction-Tuned LLMs. -- Automatic Semantic Tagging of Estonian Spatial Adverbials for Valency Pattern Mining. -- Automatic Cognitive Disorder Detection through Semantic Analysis of Verbal Image Descriptions. -- Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution. -- Multilingual Implicit Discourse Relation Recognition via Abstract Object-Enhanced Chain-of-Thought Prompting. -- Enhancing Masked Language Modeling in BERT Models Using Pretrained Static Embeddings. -- Knowledge Representation Approaches for Educational Question Generation. -- Leveraging Fine-Tuned State-of-the-Art LLMs for Symptom Classification of Patient-Reported Problems in Parkinson's Disease. -- Gold Data and Multiple Understanding of Discourse Relations. -- Are We There yet? A Thorough Evaluation of POS Tagging on Czech. -- Morphological Segmentation with Neural Networks: Performance Effects of Architecture, Data Size, and Cross-Lingual Transfer in Seven Languages. -- Verb Motility Dynamics Reveals Cognitive Impairment in Parkinson’s Disease: A Speech-Language Fusion Approach. -- Dialogue. -- Corpus of Cross-lingual Dialogues with Minutes and Detection of Misunderstandings. -- Parameter vs. Sample Efficiency in Multi-intent Recognition for Dialogue Understanding: Benchmarking Small Open LLMs. |
| Record Nr. | UNISA-996673180803316 |
Ekstein Kamil
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Text, Speech, and Dialogue : 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part I / / edited by Kamil Ekštein, Miloslav Konopík, Ondřej Pražák, František Pártl
| Text, Speech, and Dialogue : 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part I / / edited by Kamil Ekštein, Miloslav Konopík, Ondřej Pražák, František Pártl |
| Autore | Ekstein Kamil |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (654 pages) |
| Disciplina | 006.35 |
| Altri autori (Persone) |
KonopíkMiloslav
PražákOndřej PártlFrantisek |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Natural Language Processing (NLP) |
| ISBN | 3-032-02548-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Speech. -- Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR. -- An Empirical Analysis of Discrete Unit Representations in Speech Language Modeling Pre-training. -- Optimizing ASR Models with Semantic Information. -- Efficient Enhancement of Norwegian ASR Model. -- Towards Stable and Personalised Profiles for Lexical Alignment in Spoken Human-Agent Dialogue. -- Audio–Vision Contrastive Learning for Phonological Class Recognition. -- TOSD-Net: A CNN-Transformer Architecture for Robust Frame-Level Overlapping Speech Detection in Diverse Acoustic Conditions. -- An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS. -- Emotion-Aware Speech-Driven Facial Avatar Animation via Joint Blendshape Prediction and Emotion Recognition. -- Beyond Static Emotions: Leveraging Multitask Learning to Model Dynamics of Dimensional Affect in Speech. -- Implicit Speaker Group Encoding in Self-supervised Speech Recognition Models. -- Combining Temporal Visual Dynamics and Audio Representations for Robust Speaker Identification. -- Sentences vs Phrases in Neural Speech Synthesis: the Phrases Strike Back. -- Evaluating Phoneme-Level Pretraining in Czech Text-to-Speech Synthesis. -- Unifying Global and Near-Context Biasing in a Single Trie Pass. -- Synthesising Cross-Speaker Data for Low-Resource Pathological Speech Recognition with PEFT. -- Multilingual Stutter Event Detection for English, German, and Mandarin Speech. -- How Far Can Synthetic Speech Go? Enhancing ASR in Low-Resource Scenarios via Voice Cloning. -- Enhancing Detection of Parkinson-induced Dysarthria with Cross-lingual Transfer Learning. -- Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks. -- Detection of Cognitive Disorders Using ASR-Based Nonsense Words Repetition. -- Mind the Gap: Entity-Preserved Context-Aware ASR for Structured Transcriptions. -- Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization. -- Robust Disfluency Labeling in Spontaneous Speech: Insights from Diverse Hungarian Corpora Including Mentally Ill Speakers. -- ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data. -- Towards an Accurate Domain-Specific ASR: Transcription for Pathology. -- Automated Speaking Assessment for L2 Learners of Czech. -- Inclusive ASR for Critical Public Services: Debiasing with Actor-Simulated Speech. -- RECA-PD: A Robust Explainable Cross-Attention Method for Speech-based Parkinson's Disease Classification. -- Systematic FAIRness Assessment of Open Voice Biomarker Datasets for Mental Health and Neurodegenerative Diseases. -- When Silence Speaks: Understanding Open-Ended Responses via LLMs in Therapeutic Voice Interaction. -- Multilingual Domain Adaptation for Speech Recognition Using LLMs. -- Using Cross-attention For Conversational ASR Over The Telephone. |
| Record Nr. | UNISA-996673178503316 |
|
Ekstein Kamil
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Text, Speech, and Dialogue [[electronic resource] ] : 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings / / edited by Kamil Ekštein, František Pártl, Miloslav Konopík
| Text, Speech, and Dialogue [[electronic resource] ] : 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings / / edited by Kamil Ekštein, František Pártl, Miloslav Konopík |
| Autore | Ekstein Kamil |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (383 pages) |
| Disciplina | 006.35 |
| Altri autori (Persone) |
PártlFrantisek
KonopíkMiloslav |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-031-40498-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 of Speech 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 Parkinson’s Disease Classification. |
| Record Nr. | UNISA-996546851303316 |
|
Ekstein Kamil
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Text, Speech, and Dialogue : 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings / / edited by Kamil Ekštein, František Pártl, Miloslav Konopík
| Text, Speech, and Dialogue : 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings / / edited by Kamil Ekštein, František Pártl, Miloslav Konopík |
| Autore | Ekstein Kamil |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (383 pages) |
| Disciplina | 006.35 |
| Altri autori (Persone) |
PártlFrantisek
KonopíkMiloslav |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9783031404986
303140498X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 Parkinson’s Disease Classification. |
| Record Nr. | UNINA-9910739464203321 |
|
Ekstein Kamil
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||