Case study finds that fine-tuned ASR models outperform human listeners on Dutch dysarthric continuous speech from one speaker, lowering WER from over 70% to over 23%.
Zero-shot recognition of dysarthric speech using commercial automatic speech recognition and multimodal large language models,
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Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study
Case study finds that fine-tuned ASR models outperform human listeners on Dutch dysarthric continuous speech from one speaker, lowering WER from over 70% to over 23%.