Artificial Intelligence #speech-recognition#dysarthric-speech
Improving End-to-End Speech Recognition for Dysarthric Speech through In-Domain Data Augmentation
A study by Sapkota et al. explores data augmentation techniques for dysarthric automatic speech recognition (ASR) by fine-tuning the end-to-end Wav2Vec2 model. Four methods—Speaking-Rate Modification, Pitch Modification, Formant Modification, and vocal tract Length Perturbation—were tested across severity levels, achieving relative WER reductions of 30.02%, 16.64%, and 15.47% for low, medium, and high severity respectively.
Jun 20, 2026 1 source