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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ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203

ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203

Today, we’re joined by Stuart Reid, Chief Scientist at NMRQL Research. NMRQL is an investment management firm that uses ML algorithms to make adaptive, unbiased, scalable, and testable trading decisi...

26 Marras 201858min

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. In our conversation, we explore the evolution of analytics and data science at Sh...

21 Marras 201845min

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. In our conversation, Leemay and I discuss just h...

19 Marras 201847min

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

In this episode of our AI Platforms series, we’re joined by Bee-Chung Chen, Principal Staff Engineer and Applied Researcher at LinkedIn. Bee-Chung and I caught up to discuss LinkedIn’s internal AI aut...

15 Marras 201847min

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199

In this episode of our AI Platforms series we’re joined by OpenAI’s Head of Infrastructure, Christopher Berner. In our conversation, we discuss the evolution of OpenAI’s deep learning platform, the co...

12 Marras 201849min

Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198

In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. In our conversation, we discuss Airbnb’s internal mac...

8 Marras 201849min

Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197

In the kickoff episode of our AI Platforms series, we’re joined by Aditya Kalro, Engineering Manager at Facebook, to discuss their internal machine learning platform FBLearner Flow. FBLearner Flow is ...

6 Marras 201838min

Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196

In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application o...

1 Marras 201843min

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