This study investigates the acoustic profiles of vocal emotion expression, analyzing how different emotions are conveyed through voice. Professional actors portrayed 14 emotions, varying in intensity and valence, and judges were asked to identify them. The results show that judges can accurately infer emotions from vocal cues, with accuracy rates often exceeding chance levels. Acoustic analysis revealed that vocal parameters not only reflect the intensity of emotions but also differentiate their valence or quality. The study tested theoretical predictions about vocal patterning based on the component process model of emotion. While most hypotheses were supported, some needed revision based on empirical evidence. Discriminant analysis and jackknifing showed high hit rates and patterns of confusion that mirrored those found in listener-judges. The study highlights the importance of vocal cues in expressing both real and feigned emotions, and their significant impact on interpersonal interaction and social influence. The research also identifies specific vocal expression patterns for different emotions, such as anger, fear, sadness, joy, and disgust, and discusses the role of activation and arousal versus valence-quality cues. The study concludes that vocal expressions of emotions are differentially patterned and that acoustic parameters such as fundamental frequency, vocal energy, and spectral energy distribution play a key role in conveying emotional states. The findings suggest that the acoustic profiles of emotions are highly specific and that the recognition of these profiles is influenced by factors such as the quality of the vocal expression and the context in which the emotion is expressed. The study also addresses the limitations of previous research and proposes a more theory-driven approach to studying vocal emotion expression. The results indicate that the accuracy of emotion recognition from vocal cues is relatively high, with some emotions being more easily recognized than others. The study emphasizes the importance of considering both the acoustic characteristics of the vocal expression and the context in which the emotion is expressed.This study investigates the acoustic profiles of vocal emotion expression, analyzing how different emotions are conveyed through voice. Professional actors portrayed 14 emotions, varying in intensity and valence, and judges were asked to identify them. The results show that judges can accurately infer emotions from vocal cues, with accuracy rates often exceeding chance levels. Acoustic analysis revealed that vocal parameters not only reflect the intensity of emotions but also differentiate their valence or quality. The study tested theoretical predictions about vocal patterning based on the component process model of emotion. While most hypotheses were supported, some needed revision based on empirical evidence. Discriminant analysis and jackknifing showed high hit rates and patterns of confusion that mirrored those found in listener-judges. The study highlights the importance of vocal cues in expressing both real and feigned emotions, and their significant impact on interpersonal interaction and social influence. The research also identifies specific vocal expression patterns for different emotions, such as anger, fear, sadness, joy, and disgust, and discusses the role of activation and arousal versus valence-quality cues. The study concludes that vocal expressions of emotions are differentially patterned and that acoustic parameters such as fundamental frequency, vocal energy, and spectral energy distribution play a key role in conveying emotional states. The findings suggest that the acoustic profiles of emotions are highly specific and that the recognition of these profiles is influenced by factors such as the quality of the vocal expression and the context in which the emotion is expressed. The study also addresses the limitations of previous research and proposes a more theory-driven approach to studying vocal emotion expression. The results indicate that the accuracy of emotion recognition from vocal cues is relatively high, with some emotions being more easily recognized than others. The study emphasizes the importance of considering both the acoustic characteristics of the vocal expression and the context in which the emotion is expressed.