A compact ResNet trained with GE2E or AAMSoftmax identifies the source TTS system of synthetic speech as accurately as a 315M-parameter Wav2Vec2/AASIST model on MLAADv5.
The dataset consists of three distinct and mutually exclusive subsets, a training set, a development set, and a test set
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Synthetic Speech Source Tracing using Metric Learning
A compact ResNet trained with GE2E or AAMSoftmax identifies the source TTS system of synthetic speech as accurately as a 315M-parameter Wav2Vec2/AASIST model on MLAADv5.