Automatic Speech Recognition (ASR) systems typically generate text with no punctuation and capitalization of the words. There are two issues with non-punctuated ASR output:
it could be difficult to read and understand
models for some downstream tasks, such as named entity recognition, machine translation, or text-to-speech synthesis, are usually trained on punctuated datasets and using raw ASR output as the input to these models could deteriorate their performance
NeMo provides two types of Punctuation And Capitalization Models:
Lexical only model:
Lexical and audio model: