#XPhoneBERT

XPhoneBERT, a multilingual phoneme model, optimizes text-to-speech (TTS) technology by refining phoneme representations. With its BERT-base architecture trained on 330 million phoneme-level sentences from about 100 languages, it enhances TTS systems' naturalness and prosody, even with limited training data. Seamlessly integrating with Python's 'transformers' package and 'text2phonemesequence' for phoneme conversion, XPhoneBERT supports efficient multilingual pre-training.