Delivering Neural Speech Services at Scale with Li Jiang - #522

Delivering Neural Speech Services at Scale with Li Jiang - #522

Today we’re joined by Li Jiang, a distinguished engineer at Microsoft working on Azure Speech. In our conversation with Li, we discuss his journey across 27 years at Microsoft, where he’s worked on, among other things, audio and speech recognition technologies. We explore his thoughts on the advancements in speech recognition over the past few years, the challenges, and advantages, of using either end-to-end or hybrid models. We also discuss the trade-offs between delivering accuracy or quality and the kind of runtime characteristics that you require as a service provider, in the context of engineering and delivering a service at the scale of Azure Speech. Finally, we walk through the data collection process for customizing a voice for TTS, what languages are currently supported, managing the responsibilities of threats like deep fakes, the future for services like these, and much more! The complete show notes for this episode can be found at twimlai.com/go/522.

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Neural Ordinary Differential Equations with David Duvenaud - #364

Neural Ordinary Differential Equations with David Duvenaud - #364

Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In...

9 Apr 202049min

The Measure and Mismeasure of Fairness with Sharad Goel - #363

The Measure and Mismeasure of Fairness with Sharad Goel - #363

Today we’re joined by Sharad Goel, Assistant Professor at Stanford. Sharad, who also has appointments in the computer science, sociology, and law departments, has spent recent years focused on applyin...

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Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Simulating the Future of Traffic with RL w/ Cathy Wu - #362

Today we’re joined by Cathy Wu, Assistant Professor at MIT. We had the pleasure of catching up with Cathy to discuss her work applying RL to mixed autonomy traffic, specifically, understanding the pot...

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Consciousness and COVID-19 with Yoshua Bengio - #361

Consciousness and COVID-19 with Yoshua Bengio - #361

Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio, Professor at the University of Montreal and the Founder and Scientific Director of MILA. We caught u...

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Geometry-Aware Neural Rendering with Josh Tobin - #360

Geometry-Aware Neural Rendering with Josh Tobin - #360

Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning. We had the pleasure of sitting down with Josh prior to his presentation of his paper G...

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The Third Wave of Robotic Learning with Ken Goldberg - #359

The Third Wave of Robotic Learning with Ken Goldberg - #359

Today we’re joined by Ken Goldberg, professor of engineering at UC Berkeley, focused on robotic learning. In our conversation with Ken, we chat about some of the challenges that arise when working on ...

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Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358

Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358

Today we’re joined by Stefan Lee, an assistant professor at Oregon State University. In our conversation, we focus on his paper ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for V...

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Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357

Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357

Today we’re joined by Jürgen Schmidhuber, Co-Founder and Chief Scientist of NNAISENSE, the Scientific Director at IDSIA, as well as a Professor of AI at USI and SUPSI in Switzerland. Jürgen’s lab is w...

16 Mars 202034min

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