Author

Jakub Piotr Cłapa

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Preprint Aug 2026

Towards Quantifying Benchmark Optimization in ASR Models

This work presents a methodology for quantifying benchmark optimization, focusing on cases where the audio underdetermines the reference transcript, and indicates that high-performing models exhibit benchmark-conditioned behaviors that can inflate benchmark performance without reflecting improved general-purpose transc...

Theo Lebryk, David Ayllón, Alice Baird et al. · 0 citations

Jul 2026

RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems

Current voice AI benchmarks typically evaluate isolated capabilities such as speech intelligibility, word error rate, or text-based dialogue quality, but they rarely test whether systems harness the acoustic information that distinguishes spoken language from its textual representation. To this end, we introduce the Re...

D. Ayllón, Alice Baird, Jeffrey Brooks et al. · arXiv.org · 1 citation