Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection

Speech anti-spoofing models can be improved by using large pre-trained model as front-end, e.g., Wav2vec2 or WavLM. However, apart from the heavy computation overhead, fine-tuning of pre-trained model is prone to over-fitting and catastrophic forgetting due to limited training data. In this paper…