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The Multi-target Challenge 1 aims to assess how well current speech technology is able to determine whether or not a recorded utterance was spoken by one of a large number of blacklisted speakers. It is a form of multi-target speaker detection based on real-world telephone conversations. Data recordings are generated from call center customer-agent conversations. The task is to measure how accurately one can detect 1) whether a test recording is spoken by a blacklisted speaker, and 2) whichdoi:10.21437/interspeech.2019-1572 dblp:conf/interspeech/ShonDRG19 fatcat:grgsfm4hffejtnyiinlethry6y