Inverse Text Normalization by NVIDIA's NeMo | 3080 TI Founder's Edition Giveaway | GTC22
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In this tutorial, I shed some light on NeMo’s inverse text normalization functionalities and capabilities. In some pre-processing stages of Text-to-Speech (TTS), one might be faced with some semiotic classes to deal with such as date, time, currency just to name a few. An example would be to convert simple text such as “two thousand five hundred dollars” to its numeric semiotic version, i.e. $2500 . This is easily achieved with NVIDIA’s NeMo Normalizer class within the nemo_text_processing toolkit.
⏲⏲Outline
00:00 Intro
00:23 GPU Giveaway Announcement
00:42 Steps to take part in Giveaway
04:13 What is NeMo ?
05:08 Inverse Text Normalization
06:58 Installing NeMo
08:00 Installing pynini
08:15 Checking out NeMo’s Inverse Normalizer for inverse text normalization
10:32 Outro
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