This dataset brief is about the descriptive proteomic comparison of human oral mucosa and vocal fold tissues by high-resolution mass spectrometry (CID-MS/MS). The vast majority of voice disorders is associated with changes of the unique but delicate tissue of the human vocal folds, wheras the ability to develop new effective treatment methods is significantly limited by the physical inaccessibility and the extremely rare occasion to gather healthy tissue biopsies. Therefore, oral mucosa reached specific interest for laryngological research, as the tissue harvesting process is less invasive and accompanied with faster healing and less scarring. Proteomic analysis of both tissues will provide a fundamental laryngological resource for the research community. Our study identifies a total of 1575 proteins detected within both tissues that are highly consistent in several crucial biological processes, cellular components, and molecular functions.