Google Assistant will improve listening skills through joint learning

Smart assistants like Siri once became the subject of jokes when they misheard their activation keywords. However, users eventually realize what these errors will cost them, especially when it comes to potential privacy issues and embarrassing situations.

The companies behind these smart assistants have been trying to improve how they correctly detect keywords, and Google is now trying to actually crowdsource the data that Google Assistant needs to learn, but not through the potentially confusing and controversial route of cloud computing.

Google Assistant, like many Google services, can improve its services and algorithms through data harvested from users. However, for Assistant, Google is very careful not to send unnecessary voice data to its cloud, especially after experiencing the big scandal that shook the AI ​​assistant market. Technically speaking, Google said that it will only start recording voice clips after being triggered by the keyword “Hey, Google”.

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Unfortunately, it is this keyword that has caught the “footsteps” of Google Assistant, and it needs more data about these false triggers to improve its recognition capabilities. To this end, Google is applying a joint learning strategy to use the phrases spoken by Google Assistant users in a more privacy-respecting way.

In short, the original voice data will not be sent to Google’s servers but will be processed locally. Only the anonymized data model will be sent to Google and combined with the data of other users to achieve the purpose of improving artificial intelligence algorithms and processes. Voice recordings will be encrypted and stored on the device and will be deleted when they are no longer needed in about two months.

It should be noted that this feature is disabled by default. If users want to help improve the performance of Google Assistant, they must choose to join the program. Google is applying similar joint learning strategies to its other applications and services. It also started crowdsourcing certain data from Android apps to increase the download and installation speed of the Google Play Store.

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