Papers by Iwona Christop

2 papers
nEMO: Dataset of Emotional Speech in Polish (2024.lrec-main)

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Challenge: Existing datasets covering Slavic languages do not accurately represent basic emotional states.
Approach: They propose to use a Polish corpus of emotional speech to represent basic emotional states.
Outcome: The proposed corpus represents six emotional states in Polish, with 9 actors participating in the study.
A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models (2026.eacl-long)

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Challenge: Existing benchmarks for testing audio modality of multimodal large language models focus on testing audio tasks in isolation.
Approach: They propose a new benchmark to assess multimodal large language models' ability to combine audio tasks.
Outcome: The proposed benchmarks show that multimodal models can solve problems that require reasoning over audio signals with satisfactory results.

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