✅ Step 1: Register for NVIDIA GTC using this link: https://www.nvidia.com/gtc/?ncid=ref-crea-733228 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 ⏲⏲Outline 📚📚 Previous Conversational AI Tutorials: 📚📚 MY FREE ONLINE COURSES: 📚📚 OTHER RECOMMENDED COURSES WHO AM I: 🌍 My website / lecture notes – http://bazziahmad.com/
GET IN TOUCH: #GTC22 #AI #nemo
/>✅ 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.
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.
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
Text Normalization by NVIDIA’s NeMo – https://youtu.be/I7q0RsZLS68
Voice Swap using NVIDIA’s NeMo on Python – https://youtu.be/N4nOsJOKc1k NeMo NVIDIA Conversational AI Translator – https://youtu.be/7quSsMfTQd0
NVIDIA Jarvis (now Riva) Conversational AI on Python – https://youtu.be/sbYolIax190
TensorRT Overview – https://youtu.be/6rZNLaS775w
Traducteur d’IA conversationnelle NVIDIA NeMo – https://youtu.be/ie9GsuxZ6ZQ
📚 Convex Optimization Course – https://youtube.com/playlist?list=PL-DDW8QIRjNOVxrU2efygBw0xADVOgpmw
🤖 Machine Learning Course- https://youtube.com/playlist?list=PL-DDW8QIRjNMQavfdmZYh8S2smrKfqAba
/>🎓 Linear Algebra Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNOv5V6wqyCn781CY8_znkKh
/>🖥 Data structure & Algorithms Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNPa_dekX76dR996d2bo8Td3
/>💼 Convex Optimization Applications Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNOfSM_LTe1o7-lg1PIuw-0R
/>💰 Stock Market Analysis Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNPFm-TSbqmxr_bGzyzVhB95
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👩🏽💻 MATLAB Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNOaKOV5SR3_0yp-A2bYBePY
/>💻 Python Programming Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNOXfBOPL67RCjgTELw4Y58F
/>👩🏫 R programming for Data science and statistics Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNO9vYBI4pMnBO__sBi6Dpws
/>📶 Signal Processing Course – https://www.youtube.com/playlist?list=PL-DDW8QIRjNO5h384HWnSnv2Uc9p-l1of
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I am an Electrical Engineer and YouTuber w/ a PhD in Electrical Engineering from @EURECOM Communication Systems Department , Sophia Antipolis in France. I am also a EURECOM alumni, w/ a Masters studies from @CentraleSupélec(Summa Cum Laude). I have many publications in well-known @IEEEorg conferences, including a nomination award and is a co-inventor in several patents. I am also a former student member of @IEEE Signal Processing Society . I also dedicate time to publish high level lectures on Mathematics (including convex optimization) and Programming. I also focus on Math for Machine Learning, Convex Optimization, Linear Algebra, Python, SymPy, NumPy, Pandas, CVXOPT, MATLAB, and more.
I try my best to respond to each and every comment here on YouTube, you guys are my family ❤️