most citedVariational Low-Rank Adaptation for Personalized Impaired Speech Recognition

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.AS2025★ 1 cited

Variational Low-Rank Adaptation for Personalized Impaired Speech Recognition

Niclas Pokel, Pehuén Moure, Roman Boehringer +2

Speech impairments resulting from congenital disorders, such as cerebral palsy, down syndrome, or apert syndrome, as well as acquired brain injuries due to stroke, traumatic accide…

eess.AS2025

Data-Efficient ASR Personalization for Non-Normative Speech Using an Uncertainty-Based Phoneme Difficulty Score for Guided Sampling

Niclas Pokel, Pehuén Moure, Roman Böhringer +1

ASR systems struggle with non-normative speech due to high acoustic variability and data scarcity. We propose a data-efficient method using phoneme-level uncertainty to guide fine-…