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Markus Schedl

2 papers indexed

arxivcs.CV2026-07-15

Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge

Marta Moscati, Muhammad Saad Saeed, Marina Zanoni, Mubashir Noman, Rohan Kumar Das, Monorama Swain, et al.

Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing, and assume each speaker only speaks a single language. However, in real-world applications, such assumptions often do…

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arxivcs.CLcs.AIcs.LG2026-06-27

A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories

Fabio Ciani, Harald Schweiger, Emilia Parada-Cabaleiro, Markus Schedl

Text encoders are known for their utility in natural language processing, as they are able to efficiently compress inputs into dense vectors while preserving semantics. These models have been applied to affective computing, in particular to help with solving sentiment analysis an…

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