Abstract: In this paper, we propose a deep learning (DL)-based task-driven spectrum prediction framework, named DeepSPred. The DeepSPred comprises a feature encoder and a task predictor, where the ...
Abstract: In this paper, we address the challenge of synthetic speech detection, which has become increasingly important due to the latest advancements in text-to-speech and voice conversion ...
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