Author

Theo Lebryk

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Conference Sep 2026

The Impact of Audio Quality Filtering on Demographic and Expressive Diversity in Dyadic Conversational Data

Audio quality filtering is a standard preprocessing step in affective speech corpus curation, yet while downstream demographic bias in speech models is well-documented, the representational consequences of filtering strategies are rarely examined. We analyse DaiKon, a multilingual dual-channel dyadic conversation corpu...

Alice Baird, Theo Lebryk, Panagiotis Tzirakis et al. · 2026 14th International Conf... · 0 citations

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

The Real World Voice EQ Bench is introduced, a multidimensional benchmark for evaluating voice AI across text-to-speech (TTS), speech-to-speech (STS), speech understanding (SU), and automatic speech recognition (ASR), showing that performance is highly dimension-specific.

David Ayllón, Alice Baird, Jeffrey A. Brooks et al. · arXiv.org · 2 citations