Method and system for enhancing the intelligibility of information for a user

A method for enhancing an intelligibility of audio information for a user, the method comprising:

• training a set of trained models, comprising:
• producing a set of augmented audio data for use in training the set of trained models, wherein producing the set of augmented audio data comprises:
• simulating the audio effects of a set of multiple room configurations to determine a set of room impulse response filters;
• for a set of audio inputs:
• altering the set of audio inputs based on the set of room impulse response filters;
• and
• augmenting the set of audio inputs with a library of noise features;
• with the set of augmented audio data, training the set of trained models, comprising:
• implementing a constrained loss function, the constrained loss function operable to produce an output with the set of trained models within a predetermined time threshold, thereby increasing the interpretability of the audio information;
• receiving the audio information and processing the audio information with the set of trained models to detect a set of high frequency phonemes present in the audio information;
• producing a set of sensory outputs to be conveyed to the user based on the detected set of phonemes and a set of temporal features associated with the set of detected phonemes;
• providing the set of sensory outputs to the user, thereby enhancing the intelligibility of the audio information;
• and
• updating the set of trained models based on the audio information.