根据提供的表格T：
Metric MCD ,Model Setup,Dataset Reference w / o synth . ref . 64 - dim para . enc .,24.01, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,10.71, Base EVoCA w / o synth . ref . 64 - dim para . enc .,, Base EVoCA w / o para . enc . 64 - dim para . enc .,, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,, w / 64 - dim para . enc .,, w / 32 - dim para . enc .,, w / 128 - dim converter,, w / 64 - dim converter,, w / 32 - dim converter,, F 0 RMSE ( Hz ),Model Setup,Dataset Reference w / 128 - dim para . enc . 64 - dim para . enc .,146.20, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,64.36, Base EVoCA w / 128 - dim para . enc . 64 - dim para . enc .,, w / 64 - dim para . enc .,, w / 32 - dim para . enc .,, Base EVoCA w / 128 - dim converter,, w / 64 - dim converter,, w / 32 - dim converter,,Table 1: Objective performance measures for the style voice conversion task with different setups. The base EVoCA consists of a 256-dimensional paralinguistic encoder and a 256-dimensional voice converter. Refer-ence numbers are computed using the synthetic speech and ground-truth expressive speech. All other numbers are computed using converted speech and ground-truth expressive speech.
回答问题Q：
Which one’s value is 24.01 in Table 1?