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K. Kersting

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#artificial intelligence Preprint Sep 2026

VoiceNet: Fine-Grained Voice Understanding Beyond Emotion at Scale

This paper introduces VoiceNet, a human-annotated representation-level benchmark for voice performance understanding on permissively-licensed in-the-wild speech, and releases Emolia, an emotion-annotated version of the Emilia corpus, with a curated rebalanced subset enriched by dense MOSS-Audio Thinking annotations.

Christoph Schuhmann, R. Kaczmarczyk, Gollam Rabby et al. · 0 citations

CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models

It is shown how language models trained sequentially on CHRONOBERG struggle to encode diachronic shifts in meaning, emphasizing the need for temporally aware training and evaluation pipelines, and positioning CHRONOBERG as a scalable resource for the study of linguistic change and temporal generalization.

Niharika Hegde, Subarnaduti Paul, Lars-Joel Frey et al. · 4 citations

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