#dysarthria News & Analysis

3 articles tagged with #dysarthria. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 236/10

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DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classification

Researchers introduce DSSCNet, a deep learning framework using transfer learning to improve dysarthric speech severity classification across different datasets. The model achieves 75.80% accuracy on TORGO and 68.25% on UA-Speech corpora, demonstrating significant improvements in speaker-independent assessment and cross-corpus generalization for assistive speech technologies.

AINeutralarXiv – CS AI · Jun 196/10

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Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models

Researchers have achieved significant improvements in dysarthric speech recognition by systematically combining acoustic features with the Factorized Time Delay Neural Network (F-TDNN) model, demonstrating 4.65% relative improvement in word recognition and 4.63% in sentence recognition. The study identifies pitch features as particularly effective for handling the acoustic variability characteristic of impaired speech, advancing accessibility technology for individuals with speech disorders.

AINeutralarXiv – CS AI · Jun 196/10

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Improving End-to-End Speech Recognition for Dysarthric Speech through In-Domain Data Augmentation

Researchers developed data augmentation techniques to improve automatic speech recognition (ASR) for people with dysarthria by fine-tuning the Wav2Vec2 model. Using methods like speaking-rate modification, pitch modification, and formant modification tailored to different severity levels, the study achieved significant word error rate reductions across low, medium, and high severity dysarthric speech.