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Found 2 papers, 1 papers with code
Investigating Active-learning-based Training Data Selection for Speech Spoofing Countermeasure
This study took the initiative and investigated CM training using active learning (AL), a framework that iteratively selects useful data from a large pool set and fine-tunes the CM.
A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection
A great deal of recent research effort on speech spoofing countermeasures has been invested into back-end neural networks and training criteria.
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