Text Normalization by NVIDIA's NeMo | 3080 TI Founder's Edition Giveaway | GTC22

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✅ Step 2: Wait for the GTC to start and join the Keynote livestream.
✅ Step 3: Attend GTC sessions. NOTE: Prizes will be awarded only to those who register for GTC using the link above and attend some sessions.
✅ Step 4: Subscribe to my YouTube channel.

The event will include Jensen’s news-filled, live-streamed keynote on March 22 at 15:00 GMT and 16:00 EST and will be available on demand afterward. 
 
This GTC will focus on accelerated computing, deep learning, data science, digital twins, networking, quantum computing and computing in the data center, cloud and edge. There will be more than 20 dedicated sessions on how AI can help visualize and further climate science. You can read more about GTC in this press release.
 

📚📚About
In this tutorial, I shed some light on NeMo’s 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 $2500 to simple text as “two thousand five hundred dollars”. This is easily achieved with NVIDIA’s NeMo Normalizer class within the nemo_text_processing toolkit.
⏲⏲Outline
00:00 Intro
00:30 GPU Giveaway Announcement
00:50 Steps to take part in Giveaway
04:16 What is NeMo ?
05:15 Text Normalization
08:05 Installing NeMo
09:40 Installing pynini
10:30 Checking out NeMo’s Normalizer for text normalization
12:49 Outro

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