Artificial Intelligence #asr#children
Researchers Analyze Fine-Tuning Strategies for Children's Speech Recognition Across Age, Gender, and Datasets
A new study from researchers including Sapkota and Narayanan provides a comprehensive analysis of fine-tuning strategies for children's automatic speech recognition (ASR), focusing on cross-dataset, age, and gender generalization. Using the TORGO database, they achieved a 4.65% relative improvement in isolated word recognition and 4.63% in sentence recognition for dysarthric speech by employing a Factorized Time Delay Neural Network (F-TDNN) with pitch features.
Jun 21, 2026 1 source