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.

Jaksot(779)

Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

Today we’re joined by Abeba Birhane, PhD Student at University College Dublin and author of the recent paper Algorithmic Injustices: Towards a Relational Ethics, which was the recipient of the Best Pa...

13 Helmi 202041min

AI for Agriculture and Global Food Security with Nemo Semret - #347

AI for Agriculture and Global Food Security with Nemo Semret - #347

Today we’re excited to kick off our annual Black in AI Series joined by Nemo Semret, CTO of Gro Intelligence. Gro provides an agricultural data platform dedicated to improving global food security, fo...

10 Helmi 20201h 4min

Practical Differential Privacy at LinkedIn with Ryan Rogers - #346

Practical Differential Privacy at LinkedIn with Ryan Rogers - #346

Today we’re joined by Ryan Rogers, Senior Software Engineer at LinkedIn, to discuss his paper “Practical Differentially Private Top-k Selection with Pay-what-you-get Composition.” In our conversation,...

7 Helmi 202033min

Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345

Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345

Today we conclude the KubeCon ‘19 series joined by Erez Cohen, VP of CloudX & AI at Mellanox, who we caught up with before his talk “Networking Optimizations for Multi-Node Deep Learning on Kubernetes...

5 Helmi 202031min

Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344

Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344

Today we’re joined by Bob Killen, Research Cloud Administrator at the University of Michigan. In our conversation, we explore how Bob and his group at UM are deploying Kubernetes, the user experience,...

3 Helmi 202025min

Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343

Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343

Today we kick off our KubeCon ‘19 series joined by Haytham AbuelFutuh and Ketan Umare, a pair of software engineers at Lyft. We caught up with Haytham and Ketan at KubeCo, where they were presenting t...

30 Tammi 202045min

Causality 101 with Robert Osazuwa Ness - #342

Causality 101 with Robert Osazuwa Ness - #342

Today Robert Osazuwa Ness, ML Research Engineer at Gamalon and Instructor at Northeastern University joins us to discuss Causality, what it means, and how that meaning changes across domains and users...

27 Tammi 202039min

PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341

PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341

Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich, to discuss his “PaccMann^RL” research. Jannis details how his background in computational neuroscience applies to this re...

23 Tammi 202042min

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