Sam Zegas is life-long language aficionado, with years of study in linguistics and foreign languages, and now he can add “podcast host” to his resume. He holds an MBA from Harvard Business School and an MPP from the Harvard Kennedy School of Government.
Scott Stephenson is a dark matter physicist turned Deep Learning entrepreneur. He earned a PhD in particle physics from University of Michigan where his research involved building a lab two miles underground to detect dark matter. Scott left his physics post-doc research position to found Deepgram.
Nick Martin is a Sr. Technical Product Manager at Deepgram.
Last week was a big week for speech intelligence with OpenAI’s release of Whisper, an open-source speech recognition model. At Deepgram, we’re excited about Whisper’s end-to-end deep learning approach and the splash it made in speech tech, since we’ve been building speech models using end-to-end deep learning for nearly a decade. So what does Whisper mean for the future of artificial intelligence in speech? In this episode, we take a closer look at Whisper: its features and functionality, its limitations, the use cases it’s best suited for, and more.