AINeutralarXiv – CS AI · 6h ago6/10
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Cross-Dataset, Age, and Gender Generalization: A Comprehensive Analysis of Fine-Tuning Strategies for Low-Resource Children's ASR
Researchers have developed improved acoustic modeling techniques for recognizing dysarthric speech in children, achieving 4.65% relative improvement in word recognition and 4.63% in sentence recognition using Factorized Time Delay Neural Networks. The study demonstrates that strategic selection of acoustic features, particularly pitch characteristics, significantly enhances performance on low-resource speech recognition tasks.