Amazon Alexa Fund Fellowship

Fueling the future of voice technologies

The Amazon Alexa Fund is establishing an Alexa Fund Fellowship program to support academic institutions leading the charge in the fields of text-to-speech (TTS), natural language understanding (NLU), automatic speech recognition (ASR), conversational artificial intelligence (AI), and other related engineering fields. The goal of the Alexa Fund Fellowship program is to educate students about voice technology and empower them to create the next big thing.

The program will launch with four universities: Carnegie Mellon University, University of Waterloo, University of Southern California (USC), and John Hopkins University. Each university will receive cash funding as well as Alexa-enabled devices and mentorship from the Alexa Science teams to develop a graduate or undergraduate class curriculum. To learn more about our first group of Alexa Fund Fellows, check out the full blog post.

Participating Universities

Carnegie Mellon University

Advisor Names: Alex Rudnicky & Alan Black

Fellow Name: Ran Zhao

Course Name: Project Course: Dialog Systems

Course Description: This course will teach participants how to implement a complete spoken language system while providing opportunities to explore research topics of interest in the context of a functioning system. Amazon Alexa will be used as a platform for system development. The course will place particular emphasis on issues in task design and dialog management and on issues in language generation and synthesis. Learn more.

University of Waterloo

Advisor Name: Fakhri Karray

Fellow Name: Chahid Ouali

Course Name: Fundamentals of Computational Intelligence

Course Description: This course will introduce students to novel approaches for computational intelligence based techniques including: knowledge-based reasoning, expert systems, fuzzy inferencing and connectionist modeling based on artificial neural networks. The main thrust is on designing computationally intelligent systems with human-like capabilities in terms of reasoning, learning, and adaptation. Learn more.

University of Southern California

More Details Coming in Summer 2017

John Hopkins University

More Details Coming in Summer 2017

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