Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech. (arXiv:2209.02971v1 [cs.CL])

Converting written texts into their spoken forms is an essential problem in
any text-to-speech (TTS) systems. However, building an effective text
normalization solution for a real-world TTS system face two main challenges:
(1) the semantic ambiguity of non-standard words (NSWs), e.g., numbers, dates,
ranges, scores, abbreviations, and (2) transforming NSWs into pronounceable
syllables, such as URL, email address, hashtag, and contact name. In this
paper, we propose a new two-phase normalization approach to deal with these
challenges. First, a model-based …

arxiv detection normalization speech standard text text-to-speech