This study aimed to determine whether there is a correlation between the presence of ASD traits with the ability to accurately recognise congruent vocal emotions. Method for data collection comprised of a computer based emotion recognition task (created by Marsh & Chronaki, 2018), with two self-report assessments: Trait-Emotional Intelligence Questionnaire-Short Form (TEIQUE-SF: Petrides & Furnham, 2006) and The Adult Autism Spectrum Quotient (AQ: Baron-Cohen, Wheelwright, Skinner, Martin & Clubley, 2001). Results led to the rejection of all hypotheses, however additional investigations found significant correlations between EI subscale Emotionality with all of the vocal emotions (Happiness p < .01, Sadness p < .05, Anger p <.01, and Fear p < 05), except Neutral (p = .132). Another finding was between EI subscale Sociability with vocal Happiness (p < .01). Negative correlations were found between Global EI score with ASD trait Attention Switching (p < .01), and ASD trait Social Skill (p < .01), and a positive relationship between Global EI score with ASD trait Attention to Detail (p < .001). Limitations within this study include small sample size (n = 25) and AQ low internal validity ( = .01). Further research is discussed, suggesting the inclusion of EEG and Reality TV audio-clips to help build understanding of the interpretation of vocal emotions.