Huinan Zeng

Integrating human linguistic insights into AI: theory-driven representation for multilingual text-to-speech

This paper explores the integration of human linguistic insights into multilingual text-to-speech (TTS) systems by evaluating the Featurally Underspecified Lexicon (FUL) as a theory-driven input representation. Unlike data-intensive end-to end models, FUL offers a compact, interp...