Dynamic moderation based on speech patterns

A computing apparatus comprising:

• a communication interface that communicates over a communication network with a user device, wherein the communication interface receives one or more audio segments that include recorded communications associated with a user of the user device;
• and
• a processor that executes instructions stored in memory, wherein the processor executes the instructions to:
• monitor a gameplay session of the user device, wherein one or more gameplay interactions within a virtual environment are detected in the gameplay session;
• generate one or more user inferences regarding an age of the user by applying a machine-learning model to the audio segments and the detected gameplay interactions, wherein the machine-learning model is trained to generate moderated gameplay content in accordance with the age of the user and decision-making within the gameplay session;
• generate, via the machine-learning model, a set of moderation parameters relevant to the age of the user indicated by the user inferences;
• and
• modify content within the virtual environment of the gameplay session according to the set of moderation parameters that are relevant to the age of the user.

A non-transitory computer-readable storage medium, having embodied thereon instructions executable by a computer to perform a method for content moderation, the method comprising:

• receiving one or more audio segments sent over a communication network from a user device, wherein the audio segments include recorded communications associated with a user of the user device;
• monitoring a gameplay session of the user device, wherein one or more gameplay interactions within a virtual environment are detected in the gameplay session;
• generating one or more inferences regarding an age of the user by applying a machine-learning model to the audio segments and the detected gameplay interactions, wherein the machine-learning model is trained to generate moderated gameplay content in accordance with the age of the user and decision-making within the gameplay session;
• generating, via the machine-learning model, a set of moderation parameters relevant to the age of the user indicated by the user inferences;
• and
• modifying content within the virtual environment of the gameplay session according to the set of moderation parameters that are relevant to the age of the user.