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ORCID28th TSD 2025: Erlangen, Germany - Part I
- Kamil Ekstein
, Miloslav Konopík, Ondrej Prazák, Frantisek Pártl:
Text, Speech, and Dialogue - 28th International Conference, TSD 2025, Erlangen, Germany, August 25-28, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16029, Springer 2026, ISBN 978-3-032-02547-0
Speech
- Ales Prazák, Marie Kunesová, Josef Psutka:
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR. 3-12 - Yanis Labrak, Richard Dufour, Mickaël Rouvier:
An Empirical Analysis of Discrete Unit Representations in Speech Language Modeling Pre-training. 13-24 - Janine Rugayan, Giampiero Salvi, Torbjørn Svendsen:
Optimizing ASR Models with Semantic Information. 25-35 - Lukás Mateju, Jan Nouza, Martin Polácek, Petr Cerva:
Efficient Enhancement of Norwegian ASR Model. 36-47 - Keara Schaaij, Roel Boumans, Tibor Bosse, Iris Hendrickx:
Towards Stable and Personalised Profiles for Lexical Alignment in Spoken Human-Agent Dialogue. 48-59 - Daiqi Liu, Tomás Arias-Vergara, Jana Hutter, Andreas Maier, Paula Andrea Pérez-Toro:
Audio-Vision Contrastive Learning for Phonological Class Recognition. 60-71 - Yassin Terraf, Youssef Iraqi:
TOSD-Net: A CNN-Transformer Architecture for Robust Frame-Level Overlapping Speech Detection in Diverse Acoustic Conditions. 72-83 - Marie Kunesová, Zdenek Hanzlícek, Jindrich Matousek:
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-Shot Multi-speaker TTS. 84-95 - Juan Camilo Vásquez-Correa, Ander González-Docasal, Aritz Lasarguren, Jone López, Aitor Álvarez, Egoitz Rodriguez-Olea:
Emotion-Aware Speech-Driven Facial Avatar Animation via Joint Blendshape Prediction and Emotion Recognition. 96-108 - Yuxuan Zhang, Hippolyte Fournier, Ruslan Kalitvianski, Marco Dinarelli, Fabien Ringeval:
Beyond Static Emotions: Leveraging Multitask Learning to Model Dynamics of Dimensional Affect in Speech. 109-120 - Felix Herron, Solange Rossato, Alexandre Allauzen, Benoît Favre, François Portet:
Speaker Group Encoding in Self-supervised Speech Recognition Models. 121-132 - Christopher Simic, Korbinian Riedhammer, Tobias Bocklet:
Combining Temporal Visual Dynamics and Audio Representations for Robust Speaker Identification. 133-145 - Daniel Tihelka, Jindrich Matousek, Lukás Vladar:
Sentences vs Phrases in Neural Speech Synthesis: The Phrases Strike Back. 146-157 - Lukás Vladar, Jindrich Matousek, Jan Lehecka, Markéta Rezácková:
Evaluating Phoneme-Level Pretraining in Czech Text-to-Speech Synthesis. 158-169 - Iuliia Thorbecke, Esaú Villatoro-Tello, Juan Pablo Zuluaga-Gomez, Shashi Kumar, Sergio Burdisso, Pradeep Rangappa, Andrés Carofilis, Srikanth R. Madikeri, Petr Motlícek, Karthik Pandia, Kadri Hacioglu, Andreas Stolcke:
Unifying Global and Near-Context Biasing in a Single Trie Pass. 170-181 - Kesego Mokgosi, Milad Dadgar, Cathy Ennis, Robert Ross:
Synthesising Cross-Speaker Data for Low-Resource Pathological Speech Recognition with PEFT. 182-193 - Felix Haas, Sebastian P. Bayerl:
Multilingual Stutter Event Detection for English, German, and Mandarin Speech. 194-206 - Dalai Mengke, Yan Meng, Péter Mihajlik:
How Far Can Synthetic Speech Go? Enhancing ASR in Low-Resource Scenarios via Voice Cloning. 207-217 - Andreas Rouvalis, Johannes Tröger, Julius Steuer, Juan Rafael Orozco-Arroyave, Jan Rusz, Jouni Pohjalainen, Hali Lindsay, Bernd Möbius, Dietrich Klakow:
Enhancing Detection of Parkinson-Induced Dysarthria with Cross-Lingual Transfer Learning. 218-234 - Dominik Wagner, Ilja Baumann, Tobias Bocklet:
Vocoder-Free Non-parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks. 235-246 - Jan Tupý, Jan Svec, Lubos Smídl:
Detection of Cognitive Disorders Using ASR-Based Nonsense Words Repetition. 247-258 - Duygu Altinok:
Mind the Gap: Entity-Preserved Context-Aware ASR for Structured Transcriptions. 259-274 - Duygu Altinok:
Boosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization. 275-288 - Yan Meng, Péter Mihajlik, Dalai Mengke, Katalin Mády:
Robust Disfluency Labeling in Spontaneous Speech: Insights from Diverse Hungarian Corpora Including Atypical Speakers. 289-298 - Vladislav Stankov, Matyás Kopp, Ondrej Bojar:
ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data. 299-308 - Mykhailo Danilevskyi, Fernando Pérez-Téllez, Jelena Vasic:
Towards an Accurate Domain-Specific ASR: Transcription for Pathology. 309-318 - Peter Polák, Michal Novák, Katerina Rysová, Magdaléna Rysová, Ondrej Bojar:
Automated Speaking Assessment for L2 Learners of Czech. 319-330 - Melissa Torgbi, Andrew Clayman, Jordan J. Speight, Joe Hirst, Harish Tayyar Madabushi:
Inclusive ASR for Critical Public Services: Debiasing with Actor-Simulated Speech. 331-342 - Terry Yi Zhong, Cristian Tejedor García, Martha A. Larson, Bastiaan R. Bloem:
RECA-PD: A Robust Explainable Cross-Attention Method for Speech-Based Parkinson's Disease Classification. 343-355 - Ishaan Mahapatra, Nihar R. Mahapatra:
Systematic FAIRness Assessment of Open Voice Biomarker Datasets for Mental Health and Neurodegenerative Diseases. 356-368 - Matthias Busch, Arun Jose, Ingo Siegert:
When Silence Speaks: Understanding Open-Ended Responses via LLMs in Therapeutic Voice Interaction. 369-380 - Elif Nehir Ulu, Ece Derya, Duygu Tümer, Berkan Demirel, Alper Karamanlioglu:
Multilingual Domain Adaptation for Speech Recognition Using LLMs. 381-393 - Simen Dymbe, Sabato Marco Siniscalchi, Torbjørn Svendsen, Giampiero Salvi:
Using Cross-Attention for Conversational ASR over the Telephone. 394-405
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