Adaptive, individualized, and contextualized text-to-speech systems and methods

A computing system for adaptive, individualized, and contextualized text-to-speech, the system comprising:

• a memory;
• one or more processors in communication with the memory;
• and
• program instructions executable by the one or more processors via the memory to:
• receive, during a single interaction between the user and the computing system, an initial audio input provided via a user device by a user;
• classify a context of the audio input, the context indicating a purpose for receiving the audio input;
• identify a saved profile associated with a speech pattern, the saved profile corresponding to a highest level of positive resolutions resulting from previously received audio having similarly classified contexts to the context of the received audio input;
• provide, using text-to-speech processing, an audible output to the user via the user device, the audible output incorporating one or more speech pattern qualities of the saved profile into a speech pattern;
• and
• modify the speech pattern in response to subsequent audio inputs provided by the user, the modifying occurring in real time during the single interaction between the user and the computing system.

A computer-implemented method for adaptive, individualized, and contextualized text-to-speech, the computer-implemented method comprising:

• receiving, in real-time from a user via a user device, input audio data comprising a plurality of communication elements;
• applying the input audio data to at least one trained model to categorize one or more communication elements of the plurality of communication elements, the categorizing including assigning at least one contextual category to a communication element of the plurality of communication elements;
• generating text comprising a response to one or more of the plurality of communication elements, the response including one or more individualized and contextualized qualities predicted to provide an optimal outcome based at least in part on (i) the assigned at least one contextual category and (ii) the user from which the input audio data is received;
• implementing text-to-speech processing of the generated text, the text-to-speech processing producing an audio output comprising (a) the response and (b) a speech pattern predicted to facilitate the optimal outcome;
• and
• providing, to the user via the user device, the audio output and based thereon measure a reaction of the user in response to the speech pattern of the audio output according to a quantifiable quality score and using the quantifiable quality score to modify future iterations of the text-to-speech processing in order to provide one or more future audio outputs comprising a revised speech pattern.