Evaluating MFCC-based speaker identification systems with data envelopment analysis
作者：
Highlights：
• The performance of ASI systems was evaluated according to various criteria.
• The efficiencies of the systems were measured in a task-dependent fashion.
• Efficiency was represented as a function of predefined criteria.
• The study shows that no method outperforms the rest for all criteria.
• The most accurate system may not be the most efficient one, and vice versa.
摘要
•The performance of ASI systems was evaluated according to various criteria.•The efficiencies of the systems were measured in a task-dependent fashion.•Efficiency was represented as a function of predefined criteria.•The study shows that no method outperforms the rest for all criteria.•The most accurate system may not be the most efficient one, and vice versa.
论文关键词：Speaker recognition evaluation,Multi-criteria decision making,Data envelopment analysis,Speaker identification,MFCC features
论文评审过程：Received 26 March 2020, Revised 1 December 2020, Accepted 2 December 2020, Available online 13 December 2020, Version of Record 14 December 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114448
