Purpose: This study aims to examine the effects of voice enthusiasm (enthusiastic voice vs calm voice) on social ratings of the speaker, cognitive load and transfer performance in multimedia learning. Design/methodology/approach: Two laboratory experiments were conducted in which learners learned from a multimedia presentation about computer algorithm that was narrated by either an enthusiastic human voice or a calm human voice. Findings: Results from Experiment 1 revealed that the enthusiastic voice narration led to higher social ratings of the speaker and transfer performance when compared to the calm voice narration. Experiment 2 demonstrated that the enthusiastic voice led to higher affective social ratings (human-like and engaging) and transfer performance as compared to the calm voice. Moreover, it was shown that a calm voice prompted a higher germane load than an enthusiastic voice, which conforms to the argument that prosodic cues in voice can influence processing in multimedia learning among non-native speakers. Originality/value: This study extends from prior studies that examined voice effects related to mechanization, accent, dialect, and slang in multimedia learning to examining the effects of voice enthusiasm in multimedia learning.