Text, Speech, and Dialogue

.- Text.

.- Using Explainable AI to Identify Spanish SDOH Keywords.
.- SYN_r25: a Corpus Linked to a Database of Multi-Word Expressions.
.- Is this Funny to You?: A Reader-Aware Humour Classification Dataset.
.- Context as a Key: Quantifying Verbatim Data Leakage Across Model Scale, Alignment, and Reasoning Architectures.
.- Large Language Models for Sparse Entity Alignment over Knowledge Graphs.
.- Evaluation of Transformer Language Models for Hate Speech Detection in Croatian Online Text.
.- Large Language Models for Norwegian Bokmål-Nynorsk Translation: Scaling Laws and the Limits of Back-Translation.
.- LLMs as Linguistic Experts: The Case of Morphological Segmentation.
.- “Chi nas dal soch el sent de legn” - Auditing Text Corpora for Lombard.
.- Benchmarking Pragmatic Reasoning of Large Language Models in the Czech Language.
.- UzbekSpell: An Annotated Benchmark Corpus for Error Detection and Correction in Uzbek.
.- Size Matters: Foundation Model for Czech HTML Documents.
.- Online Punctuation and Capitalization Restoration Using Seq2Seq Approach.
.- Location-Aware Language Models via Secondary Embeddings.
.- Gender Bias in Greek Pronoun Resolution: Evaluating Multilingual and Language-Specific LLMs.
.- Data Synthesis and Parameter-Efficient Fine-Tuning for Low-Resource NMT: A Case Study on Q’eqchi’ Mayan.
.- Building Data Infrastructure and LLM Benchmarks for the Masurian Dialect.
.- Large-Scale Computational Morphology and Lexical Resources for Latvian and Latgalian.
.- Evaluating the Effect of Fine-Tuning on Usability Annotation of English-Slovak Translation.
.- Pseudonymisation for Morphologically Rich Languages.

.- Speech.

.- SYNODA: Synthetic Data-Oriented Domain Adaptation for Automatic Speech Recognition.
.- OLaPh: Optimal Language Phonemizer.
.- Syllable Stress Detection to Evaluate Pathological Speech and L2 Language Level Pronunciation.
.- Evaluating the Sufficiency of Verbal Picture Description Task for Cognitive Impairment Detection.
.- On the Synthesis of Dysarthric Speech: Evaluating Zero-Shot and Fine-Tuning Approaches.
.- Optimizing Streaming Zipformer for Czech Humanoid Robotics: Balancing Accuracy, Latency, and Ego-Noise.
.- On the Influence of VITS Initialisation on Speech Quality.
.- On the Robustness to Recording Condition of Speaker and Accent Embeddings for a Voice Cloning System.
.- Leveraging Zero-Shot TTS for Data Augmentation: A Comparison of VITS and StyleTTS2 in Low-Resource and Low-Quality Conditions.
.- Cross-Attention Fusion of Acoustic and Linguistic Features for Parkinson’s Disease Detection.
.- SofiaFala ECOA: A Framework for Multimodal Corpora Construction for Speech Disorder Analysis and Assistive AI Systems.
.- Acoustic Volume Mismatch in Distant Streaming ASR: Case Study and Mitigation via Wide-Range Volume Perturbation.
.- Cross-lingual Text-to-speech Translation for Regional, Low-resource Languages in Vietnam.
.- Contextual Biasing for Streaming Automatic Speech Recognition via Phoneme-Fused Representation and Detect-Then-Inject Decoding.
.- LibriConvo: Simulating Conversations from Read Literature for ASR and Diarization.
.- Early Alzheimer’s Detection Using Siamese Conformer Networks on Slovak Confrontation Naming Tasks.
.- Tremor Vision: Cross-Domain Multiclass Plosive Burst Detection from Audio-Derived Spectrogram Images for Parkinsonian DDK Speech Analysis.
.- On the Explainability of Speech Impairment Regarding Dysarthria Progression in Parkinson’s Disease.
.- Benchmarking Pretrained Speech Models for Arabic Dialect Identification with Cross-Corpus Evaluation.
.- Cross-Database Performance of Speech-Based Graph Neural Networks for Parkinson’s Disease Detection.

.- Dialogue.

.- Communicative Function Classification using Voice Activity Projection.
.- GRASS - HRI: A Corpus of Spontaneous Austrian German Dialogues with the Social Robot Furhat.
.- Utterance-Level Spoken Embeddings for Dialogue State Tracking.
.- Turn-by-Turn Acoustic-Prosodic Alignment and its Relationship to Lexical and Semantic Similarity in Casual Conversations.
.- Multimodal Speech Recognition in High-Noise Factory Floors for Human Robot Collaboration.
.- Analysis and Implications of Alignment Between LLM-as-a-Judge and Human Evaluators in a Generative AI Chatbot: A Real-World Study.
.- Modelling Thematic Structure in Clinical Dialogues for Interpretable Depression Detection.
.- Your Retriever Already Knows: Predicting RAG Retrieval Sufficiency from Score Distributions.
.- Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews.
.- An Effective Structured Generation Approach to Sentence Stress Detection with Speech Language Models.
.- From Paper to Speech: ASR-Driven Digitalization of the PICNIR Cognitive Test.
.- Blackwell: An Explainable Anamnesis-based Multi-Agent Framework for Remote Clinical Diagnosis.
.- Comparing Acoustic and Linguistic Features for Automated Deception Detection.
.- OnkoRAG: Modelling Cross-Lingual German-Arabic Medical Question Answering.

• Erscheinungsdatum: 01.10.2026
• Autor/Autorin: Elmar Nöth
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 63.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 679 Seiten
• ISBN: 9783032372499
• Lieferung: Download ab 01.10.2026
• Hinweis: Vorbestellung. Verfügbar per Download ab Erscheinungstag. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.