Amazon Alexa team uses machine learning to better handle regional language differences

TechCrunch | 6/11/2019 | Staff
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Amazon’s Alexa voice assistant faces a massive challenge: Operating not only as a multi-lingual product, but also ensuring that all regional variants of languages it supports are well understood by Alexa, too.

To help accomplish that, Alexa has been retrained entirely for every variant needed – a time- and resource-heavy activity. But a new machine learning-based method for training speech recognition created by Alexa’s AI team could mean a lot less rework in building out models for new variants of existing languages.

Paper - Chapter - Association - Computational - Linguistics

In a paper presented to the North American Chapter of the Association for Computational Linguistics, Amazon Alexa AI Senior Applied Science Manager Young-Bum Kim and his colleagues laid out a new system that was able to demonstrate improvements in accuracy of 18 percent, 43 percent, 115 percent and 57 percent respectively on four variants of English (from the U.S., the U.K., India and Canada) used...
(Excerpt) Read more at: TechCrunch
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