determining whether current voice recognition engines use past conversations with the user

Looking for documents describing implementation details of Google Assistant, Siri or Alexa. Specifically, need to know whether the speech engines rely on past conversations with the user when interpreting user voice queries.
cyber-33Asked:
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Shaun VermaakConnect With a Mentor Technical Specialist/DeveloperCommented:
whether the speech engines rely on past conversations with the user when interpreting user voice queries.
No, not the actual user but other sources of voice data collected

In terms of picking up a new language, Acero explains that the process starts by bringing in real people who can speak the new language to read various paragraphs and word lists, spanning different dialects and accents.
https://9to5mac.com/2017/03/09/apple-speech-team-head-how-siri-learns-a-new-language/

You do get technologies such as Dragon Natural Speaking which accuracy increases with end-user voice training but that is not the case with Google Assistant, Siri or Alexa
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Qian BaoConnect With a Mentor Digital Media Specialist and Web DesignerCommented:
Do check out the public SDK released by Amazon, Apple and Google on their respective voice assistant. Maybe those documentations will give you a clue what's going on with their implantation.

Amazon Alexa SDK: https://developer.amazon.com/documentation
SiriKit: https://developer.apple.com/sirikit/
Google Assistant SDK: https://developers.google.com/assistant/sdk/overview

From the following article...
https://www.exchangewire.com/blog/2017/11/08/voice-search-will-change-consumer-behaviour/

As virtual assistants, through machine learning, begin to understand emotion and state of mind through tone of voice and user behaviour patterns, suggestions, recommendations, and references will be less grounded to explicit intent by the user. A transition that will elevate the extent to which we will be marketing to machines rather than humans in the future.
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cyber-33Author Commented:
Thank you!
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