3 papers
cs.LG2026
MICRO: Multi-Fidelity Active Search for Severe Error Discovery
Orlando Leone, Niclas Pokel, Pehuén Moure +2
Human feedback can vary in cost and informativeness. Strong feedback can reveal severe errors but is costly, so cheaper quality ratings can help decide which items to annotate. We…
cs.HC2026
Demonstration of Adapt4Me: An Uncertainty-Aware Authoring Environment for Personalizing Automatic Speech Recognition to Non-normative Speech
Niclas Pokel, Yiming Zhao, Pehuén Moure +2
Personalizing Automatic Speech Recognition (ASR) for non-normative speech remains challenging because data collection is labor-intensive and model training is technically complex.…
cs.CL2025
Adapting Foundation Speech Recognition Models to Impaired Speech: A Semantic Re-chaining Approach for Personalization of German Speech
Niclas Pokel, Pehuén Moure, Roman Boehringer +1
Speech impairments caused by conditions such as cerebral palsy or genetic disorders pose significant challenges for automatic speech recognition (ASR) systems. Despite recent advan…