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Evaluation trials are used to probe performance of automatic speakerverification (ASV) systems. In spite of the clear importance and impact,evaluation trials have not been seriously treated in research and engineeringpractice. This paper firstly presents a theoretical analysis on evaluationtrials and highlights potential bias with the most popular cross-pairingapproach used in trials design. To interpret and settle this problem, we definethe concept of trial config and C-P map derived from it. The C-P map measuresthe performance of an ASV system on various trial configs in a 2-dimensionalmap. On the map, each location represents a particular trial config and itscorresponding color represents the system performance. Experiments conducted onrepresentative ASV systems show that the proposed C-P map offers a powerfulevaluation toolkit for ASV performance analysis and comparison. The source codefor C-P map has been release at https://gitlab.com/csltstu/sunine.

C-P Map: A Novel Evaluation Toolkit for Speaker Verification