GIPFA: Generating IPA Pronunciation from Audio

Transcribing spoken audio samples into International Phonetic Alphabet (IPA) has long been reserved for experts. In this study, we instead examined the use of an Artificial Neural Network (ANN) model to automatically extract the IPA pronunciation of a word based on its audio pronunciation, hence its name Generating IPA Pronunciation From Audio (GIPFA). Based on the French Wikimedia dictionary, we trained our model which then correctly predicted 75% of the IPA pronunciations tested. Interestingly, by studying inference errors, the model made it possible to highlight possible errors in the dataset as well as identifying the closest phonemes in French.