Bixing Wu

HuPER Uses Self-Learning to Improve Low-Resource Phonetic Recognition

A human-inspired framework combines acoustic evidence with linguistic knowledge, reporting state-of-the-art phonetic error rates from 100 hours of training data and zero-shot results in 95 unseen languages.