  The front-end is a critical component of English text-to-speech (TTS)
systems, responsible for extracting linguistic features that are essential for
a text-to-speech model to synthesize speech, such as prosodies and phonemes.
The English TTS front-end typically consists of a text normalization (TN)
module, a prosody word prosody phrase (PWPP) module, and a grapheme-to-phoneme
(G2P) module. However, current research on the English TTS front-end focuses
solely on individual modules, neglecting the interdependence between them and
resulting in sub-optimal performance for each module. Therefore, this paper
proposes a unified front-end framework that captures the dependencies among the
English TTS front-end modules. Extensive experiments have demonstrated that the
proposed method achieves state-of-the-art (SOTA) performance in all modules.
