most citedTowards interfacing large language models with ASR systems using confidence measures and prompting

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eess.AS2025

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech

Karl El Hajal, Enno Hermann, Sevada Hovsepyan +1

Automatic speech recognition (ASR) systems struggle with dysarthric speech due to high inter-speaker variability and slow speaking rates. To address this, we explore dysarthric-to-…

eess.AS2024★ 6 cited

Towards interfacing large language models with ASR systems using confidence measures and prompting

Maryam Naderi, Enno Hermann, Alexandre Nanchen +2

As large language models (LLMs) grow in parameter size and capabilities, such as interaction through prompting, they open up new ways of interfacing with automatic speech recogniti…