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National Institute of Technology Sikkim
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Achieving an 8x reduction in training time without sacrificing ASR performance could revolutionize how we deploy speech recognition systems for dysarthric users.
Tailored acoustic feature selection can boost dysarthric speech recognition accuracy by over 4.6%, transforming how we approach ASR for low-resource groups.
Tailored acoustic features can boost dysarthric speech recognition performance by over 4% using advanced neural network models.
Tailored data augmentation techniques can reduce word error rates in dysarthric speech recognition by over 30%, depending on severity.
