[Webinar] Using vocoders to create training data for speech spoofing countermeasure

講演者：Xin Wang
会議名：ISCA SPSC Webinar
主催者：ISCA SPSC
開催地：オンライン
URL：https://www.spsc-sig.org/webinar#:~:text=Webinar%3A%202023%2D03%2D06%20(Mon)

A good training set for speech spoofing countermeasures requires diverse speech synthesis spoofing attacks, but generating such spoofed trials for a target speaker can be technically demanding. Instead of using full-fledged speech synthesis systems, we use vocoders to do copy-synthesis on bona fide utterances and use the produced utterances as spoofed training data. A copy-synthesized utterance can be treated as the output from a speech synthesis system with perfect acoustic modeling components. While it is not truly spoofed, the copy-synthesized data was found to be effective in training spoofing countermeasures, and the trained countermeasures generalized reasonably well to multiple unseen test sets including domain-mismatched ones.