Omnilingual

Case study compares human and ASR system performance on Dutch dysarthric speech recognition

A new arXiv preprint compares human listeners against three off-the-shelf ASR systems (Whisper-large-V3, Google Chirp 3, and Omnilingual) on recognizing continuous Dutch speech from a single speaker with severe dysarthria. Both humans and ASR systems exceeded 70% WER on average, confirming the extreme difficulty of dysarthric speech recognition. Fine-tuning on dysarthric speech substantially reduced WER, with personalized models outperforming human listeners, though WER remained above 23%. The study highlights the need for personalized ASR approaches for dysarthric speakers.