Smart adjustment of audio content playback settings in a client device

A method implemented by one or more processors, the method comprising:

• receiving a natural language (NL) based input, the NL based input comprising a description of a context, the context being of a client device or a user of the client device;
• generating, based on at least the description of the context, a structured large language model (LLM) query;
• generating, based on processing the structured LLM query, an LLM output that includes one or more expected contextual signals that are indicative of the client device or the user being in the context;
• receiving one or more current contextual signals associated with at least one of the client device and the user of the client device;
• determining, based on the one or more current contextual signals and the one or more expected contextual signals, whether the client device or the user of the client device is in the context;
• and
• responsive to determining that the client device or the user of the client device is in the context, modifying one or more settings of the client device.

A method implemented by one or more processors, the method comprising:

• receiving a user input to initiate rendering of audio content at a client device;
• receiving one or more contextual signals associated with a current context of the client device or a user of the client device;
• determining, based on the one or more contextual signals, whether the client device or the user is in a predefined context;
• and
• responsive to receiving the user input and determining that the client device or the user is in the predefined context, causing the client device to initiate rendering the audio content at a reduced playback volume and subsequently ramp up the playback volume,
• wherein a rate at which the playback volume is ramped up is selected based on the predefined context.