Device Language Configuration Based on Audio Data

A method comprising:

• training, using training data, a machine learning model to identify speech properties of users, wherein the training data comprises associations between audio content corresponding to speech of a plurality of different users and properties of the speech of the plurality of different users;
• receiving, by a computing device, audio data corresponding to speech of a first user;
• providing, as input to the trained machine learning model, the audio data;
• receiving, as output from the trained machine learning model, an indication of one or more properties of the speech of the first user;
• and
• modifying, based on the one or more properties of the speech of the first user and based on determining that the speech of the user corresponds to a command, language settings of the computing device.

A method comprising:

• receiving, by a computing device, first audio data corresponding to speech by a first user;
• storing, based on one or more first properties of the speech of the first user, a user profile indicating language settings for the computing device;
• receiving, by the computing device, second audio data;
• comparing the language settings with one or more second properties of the second audio data;
• and
• modifying, based on the comparing, based on determining that the speech of the user corresponds to a command, and based on the one or more second properties of the second audio data, the user profile.