This paper explores the integration of sound files into wordnets, transforming them from static lexical databases into multimodal tools for linguistics, language learning and maintenance.Traditionally, wordnets focus on textual representations.Adding sound improves usability for language learners and linguists, especially in less-documented or endangered languages.We extracted sound data for basic vocabulary in 24 languages from the TUFS Basic Vocabulary Modules, link them to senses and make them available as small wordnets.We also discuss the issues involved with merging the data into an existing wordnet, looking at the Open English Wordnet.In addition, this paper outlines the process of integrating audio, discusses potential use cases, and evaluates the technical challenges involved.Finally we suggest an extension to the wordnet formats to allow sound for examples and definitions as well.