Jocelyn Huang

Jocelyn Huang is a deep learning software engineer at NVIDIA, where she works on the NeMo framework and developing speech models. She graduated from Carnegie Mellon University, where she received a bachelor's in computer science and master's in machine learning.

Posts by Jocelyn Huang

AI / Deep Learning

Building and Deploying Conversational AI Models Using the NVIDIA Transfer Learning Toolkit

Conversational AI is a set of technologies enabling human-like interactions between humans and devices based on the most natural interfaces for us: speech and… 24 MIN READ
AI / Deep Learning

Speeding Up Development of Speech and Language Models with NVIDIA NeMo

As a researcher building state-of-the-art speech and language models, you must be able to quickly experiment with novel network architectures. 7 MIN READ
AI / Deep Learning

Develop Smaller Speech Recognition Models with NVIDIA’s NeMo Framework

As computers and other personal devices have become increasingly prevalent, interest in conversational AI has grown due to its multitude of potential… 7 MIN READ