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This paper proposes a cross-lingual romanization ecosystem for Sinitic languages, develops specific schemes for Mandarin and Cantonese, and shows improved performance in speech-to-romanization tasks compared to baseline methods.
UR-BERT proposes a Romanized transcription-based text encoder for massively multilingual TTS, scaling to 495 languages by using universal Romanization and a speech token prediction objective to enhance phonetic alignment and generalization to unseen languages.