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Digital Data Flows Masterclass (Intermediate): Machine Learning and Speech
Please join us for an Intermediate-level FPF Digital Data Flows Masterclass on Machine Learning and Speech, to be held on Wednesday, December 9th, 2020 from 16:00 - 18:00 CET (10:00 am - 12:00 pm ET).

How do voice-based digital assistants learn to communicate with humans?Machine learning is at the heart of how digital assistants learn to understand human language and improve conversational communication. Digital Assistants are trained on datasets of audio and voice recordings that differ in size, labeling, diversity, and other characteristics.
In this intermediate-level Masterclass, participants will learn:
New perspective on voice-based digital assistants;
Differences between supervised, semi-supervised, and unsupervised machine learning (ML);
How different ML training approaches lead to different technical and non-technical performance outcomes.

We are pleased to be joined by the following guest experts:Professor Marine Carpuat, University of Maryland - Marine is an Associate Professor in Computer Science at UMD, with a joint appointment at the University of Maryland Institute for Advanced Computer Studies (UMIACS), and a member of the CLIP Laboratory (Computational Linguistics and Information Processing), where her research focuses on multilingual natural language processing and machine translation. Marine is the recipient of an NSF CAREER award, research awards from Google and Amazon, best paper awards at the *SEM and TALN conferences, and an Outstanding Teaching Award.

Dr. Prem Natarajan, VP, Alexa AI-NU - Prem is a Vice President, Alexa AI-NU, where he leads the Natural Understanding (NU) organization within Alexa AI and leads a multidisciplinary science, engineering, and product organization.Before joining Amazon, he was senior vice dean of engineering at the University of Southern California where he led DARPA and IARPA sponsored research efforts in biometrics/face recognition, OCR, natural language processing, media forensics, and forecasting.

Dec 9, 2020 10:00 AM in Eastern Time (US and Canada)

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