StudentPaperAwardCandidates

Best Paper Award Committee:

• Anna Kruspe
• Hendrik Buschmeier
• Steffen Werner
• Günther Wirsching
• Benjamin Weiss?

Kandidaten für den Student Paper Award:

Eine Bedingung ist, dass der Erstautor/die Erstautorin selbst vorträgt. Das bitte ich während der Vorträge kurz zu prüfen.

• Valentin Kany, Jürgen Trouvain: Computergestützte Bestimmung des Sprechflusses bei Vorschulkindern
• Anjana Rajasekhar, Anna Leschanowsky, Nils Peters: Towards Speech Privacy Assessment for Voice Assistants: Exploring Subjective and Objective Measures for Babble Noise
• Siddarth Venkateswaran, Ronald Böck: Can Language Models Behave Like Wine Sommeliers? Using Multiple Agents To Evaluate The Quality of Wine Descriptors Generated By Llama 2
• Benedict Kettler, Stefan Hillmann: Supervised vs. Zero-Shot Learning Automatic Classification of Comments on Educational Videos Using Pre-Trained Language Models
• Siddarth Venkateswaran, Abdullah Al Foysal, Nazeer Basha Shaik, Ronald Böck: Is there Text in Wine? – S+U Learning-Based Named Entity Recognition and Triplet Extraction from Wine Aroma Descriptors
• Christian Schuler, Debjoy Saha, Shravan Nayak, Timo Baumann: Can We See Your Response Before You Speak? Exploring Linguistic Information Found in Inter-Turn Pauses
• Yamini Sinha, Jan Hintz, Ingo Siegert: Evaluation of Audio Deepfakes – Systematic Review
• Martha Schubert, Yamini Sinha, Julia Krüger, Ingo Siegert: Speech Recognition Errors in ASR Engines and Their Impact on Linguistic Analysis in Psychotherapies
• Neda Mousavi, Sven Grawunder: The Influence of Signal Segmentation Methods on Rhythm-Based Speaker Recognition
• Neda Mousavi, Seyyed Saeed Sarfjoo, Sven Grawunder: Unsupervised Emotional Pattern Recognition Using Rhythmic and Vocal Features
• Thomas Ranzenberger, Tobias Bocklet, Steffen Freisinger, Munir Georges, Kevin Glocker, Aaricia Herygers, Korbinian Riedhammer, Fabian Schneider, Christopher Simic, Khabbab Zakaria: Extending HAnS: Large Language Models for Question Answering, Summarization, and Topic Segmentation in an ML-based Learning Experience Platform

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