RNN Approaches to Text Normalization: A Challenge

Understand

This paper presents a challenge to the community: given a large corpus of written text aligned to its normalized spoken form, train an RNN to learn the correct normalization function.

• We present a data set of general text where the normalizations were generated using an existing text normalization component of a text-to-speech system.
• This data set will be released open-source in the near future.
• We also present our own experiments with this data set with a variety of different RNN architectures.