Schedule
Time | TOPIC | zoom link |
---|---|---|
3:45 p.m. | Program Meeting for Healthcare Systems Engineering |
https://wse.zoom.us/j/99426784334 |
4 to 5 p.m. | Program Meetings | Applied and Computational Mathematics
Applied Biomedical Engineering Electrical and Computer Engineering Environmental Engineering, Science, and Management Information Systems Engineering |
5 to 5:15 p.m. | Welcome and EP Update | wse.zoom.us/j/92308550072 |
5:15 to 5:20 p.m. | Faculty Affairs at EP | wse.zoom.us/j/92308550072 |
5:20 to 5:25 p.m. | Faculty Forward | wse.zoom.us/j/92308550072 |
5:25 to 5:50 p.m. | 2022 Faculty Awards Ceremony | wse.zoom.us/j/92308550072 |
5:50 to 6:20 p.m. | Keynote Address: Ariya Rastrow “The All-Neural Era: Progress in Speech Recognition Technology at Alexa” |
wse.zoom.us/j/92308550072 |
6:20 to 6:35 p.m. | Keynote Q&A | wse.zoom.us/j/92308550072 |
Keynote
Ariya Rastrow, senior principal scientist for Alexa AI.
“The All-Neural Era: Progress in Speech Recognition Technology at Alexa”
Speech recognition technology is undergoing a dramatic shift, moving to an all-neural architecture, replacing the conventional stack of disjointly trained neural and non-neural sub-systems. The unified all-neural architecture improves SOTA accuracy, while also achieving superior memory and compute compression, enabling streaming low-latency speech recognition at the edge, where resources are constrained. The unified all-neural architecture, in conjunction with multi-task learning approaches, overhauls the boundary between the spoken language understanding (SLU) sub-components of voice AI assistants, including end-pointing, speaker segmentation, device-directed classification, and language identification and language understanding, allowing for a jointly trained unified stack that goes beyond a transcription-only task. In this talk, I give an overview of the existing challenges and our recent progress in addressing different aspects of adapting all-neural technology for production ASR for Alexa, the AI assistant that serves millions of customers daily.
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