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.

Avsnitt(779)

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion...

30 Dec 20201h 26min

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442

Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the University of Washington. At NeurIPS, Aravind presented his paper MOReL: Mode...

28 Dec 202038min

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441

As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing. This year Charles ga...

23 Dec 202046min

Natural Graph Networks with Taco Cohen - #440

Natural Graph Networks with Taco Cohen - #440

Today we kick off our NeurIPS 2020 series joined by Taco Cohen, a Machine Learning Researcher at Qualcomm Technologies. In our conversation with Taco, we discuss his current research in equivariant n...

21 Dec 202058min

Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439

Today we close out our re:Invent series joined by Edgar Bahilo Rodriguez, Lead Data Scientist in the industrial applications division of Siemens Energy. Edgar spoke at this year's re:Invent conferenc...

18 Dec 202041min

ML Feature Store at Intuit with Srivathsan Canchi - #438

ML Feature Store at Intuit with Srivathsan Canchi - #438

Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit.  As we teased earlier this week, one of the major announcements co...

16 Dec 202041min

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

Today we’re kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machi...

14 Dec 202048min

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Today we’re joined by Subarna Sinha, Machine Learning Engineering Leader at 23andMe. 23andMe handles a massive amount of genomic data every year from its core ancestry business but also uses that dat...

11 Dec 202039min

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