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cs.CL2026
Content is What Remains: Invariant Speech Tokenization from Parallel Utterances
Laurin Wagner, Bernhard Thallinger, Miroslav Stankovic +1
Discrete speech tokenizers aim to disentangle semantic from acoustic information, yet targets from self-supervised learning (SSL) models like HuBERT retain non-linguistic variation…
cs.CL2026
Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing
Laurin Wagner, Mario Zusag, Bernhard Thallinger
Modern ASR models trained on heterogeneously annotated data treat transcription style (verbatim vs. intended) as an uncontrolled latent variable, causing measurable decoding instab…