AT-ADD benchmark targets all-type audio deepfake detection

AT-ADD is a new benchmark and challenge for robust, all-type audio deepfake detection, covering speech, environmental sound, singing voice, and music. It introduces a hidden-domain routing setting where audio type is unavailable at inference time.