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Found 3 papers, 1 papers with code
Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations
We assess the performance of fine-tuning on both native and non-native children's speech, examine the effect of cross-domain child corpora, and investigate the minimum amount of child speech required to fine-tune a model which outperforms a state-of-the-art adult model.
Speaker- and Age-Invariant Training for Child Acoustic Modeling Using Adversarial Multi-Task Learning
These high acoustic variations along with the scarcity of child speech corpora have impeded the development of a reliable speech recognition system for children.
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters
Modern smart grids rely on advanced metering infrastructure (AMI) networks for monitoring and billing pur- poses.
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