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This work unveils the enigmatic link between phonemes and facial features.Traditional studies on voice-face correlations typically involve using a longperiod of voice input, including generating face images from voices andreconstructing 3D face meshes from voices. However, in situations likevoice-based crimes, the available voice evidence may be short and limited.Additionally, from a physiological perspective, each segment of speech --phoneme -- corresponds to different types of airflow and movements in the face.Therefore, it is advantageous to discover the hidden link between phonemes andface attributes. In this paper, we propose an analysis pipeline to help usexplore the voice-face relationship in a fine-grained manner, i.e., phonemesv.s. facial anthropometric measurements (AM). We build an estimator for eachphoneme-AM pair and evaluate the correlation through hypothesis testing. Ourresults indicate that AMs are more predictable from vowels compared toconsonants, particularly with plosives. Additionally, we observe that if aspecific AM exhibits more movement during phoneme pronunciation, it is morepredictable. Our findings support those in physiology regarding correlation andlay the groundwork for future research on speech-face multimodal learning.

The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features