Sleep assistance through generation and evaluation of generative sleep content and/or sleep improvement interventions including training, adjusting, mediating, and/or integrating outputs of one or more ai models

A method for assisting a user to increase sleep effectiveness, the method comprising:

• gathering physiological data from a user from a sensor of an earbud;
• initiating a sleep session data;
• monitoring a cognitive state of the user for a time period,
• wherein the cognitive state comprising a sleep state determined based on at least one of a respiration rate, a respiration rate variability, a respiration rate curve, a heartrate, a heartrate variability, and a heartrate curve;
• determining the user is in a sleep state based on the physiological data;
• determining the user is in a concerned awake state based on the physiological data;
• calculating one or more sleep metrics comprising a sleep onset latency value, a length of a sleep period during the time period, a ratio of the sleep period to an awake period during the time period, a number of REM periods, a length of REM periods, a number of Non-REM periods, a length of Non-REM periods, a number of interstitial awake periods, and a length of the awake period during the time period;
• and
• reporting the one or more sleep metrics to the user through a voice interface using a speaker of the earbud upon determination the user is in the concerned awake state to assist the user in evaluating the sleep effectiveness.

A method for generating customized audio for increasing effectiveness of relaxation and/or sleep, the method comprising:

• receiving an audio generation request through a voice interface collected on a microphone of an earbud;
• parsing the audio generation request to extract a narrative prompt and a physiological guidance prompt;
• storing the narrative prompt in a computer readable memory;
• determining a narrative modifier from the audio generation request comprising at least one of a narrative style description and a narrative genre description;
• inputting the narrative prompt into a text generation model comprising an artificial neural network of the text generation model;
• generating a text data as an output of the artificial neural network of the text generation model;
• inputting the text data into a text-to-speech model;
• outputting a narrative audio data;
• storing the physiological guidance prompt in the computer readable memory;
• determining a physiological guidance modifier from the audio generation request comprising a physiological guidance type,
• wherein the physiological guidance type comprising at least one of a respiration rate, a respiration pattern, and a heart rate;
• inputting the physiological guidance prompt into a physiological guidance model comprising an artificial neural network of the physiological guidance generation model,
• generating a physiological guidance template as an output of the artificial neural network of the physiological guidance model;
• wherein the physiological guidance comprising one or more physiological
• generating a generative audio data comprising an overlay of the narrative audio data and audio generated from the physiological guidance template;
• and
• transmitting the generative audio data to the earbud of a user to assist the user in achieving at least one of relaxation and sleep through the customized audio.