Self-supervised pre-training with acoustic configurations for replay spoofing detection

22 Oct 2019Hye-jin ShimHee-Soo HeoJee-weon JungHa-Jin Yu

Constructing a dataset for replay spoofing detection requires a physical process of playing an utterance and re-recording it, presenting a challenge to the collection of large-scale datasets. In this study, we propose a self-supervised framework for pretraining acoustic configurations using datasets published for other tasks, such as speaker verification... (read more)

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