Language Agnostic Text Encoding And Representation

via “language-agnostic text encoding and representation”

A cross-lingual neural codec language model for cross-lingual speech synthesis.

Unique: Uses unified language-agnostic text encoding that avoids explicit phoneme conversion or language-specific preprocessing, enabling the same encoder to handle multiple languages by learning shared linguistic representations in the neural codec token space

vs others: Simpler than language-specific TTS systems (like Tacotron 2 with per-language phoneme sets) because it eliminates the need for language detection, phoneme conversion, and language-specific text normalization, while maintaining comparable synthesis quality through learned multilingual representations