CPC G10L 15/07 (2013.01) [G06N 3/02 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01); G10L 15/19 (2013.01); G10L 15/22 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01)] | 17 Claims |
1. A method for personalized voice responses, the method comprising:
gathering a plurality of user data from an Internet of Things (IoT) connected sensor;
identifying a personalized vocabulary based on the gathered plurality of user data;
training a voice response system based on the gathered plurality of user data and the identified personalized vocabulary, using a bi-directional long short term memory (Bi-LSTM) training module which contextually identifies, classifies, and learns using pattern analysis, and a text and image information based convolutional neural network (TI-CNN) module;
receiving a verbal request; and
responding to the received verbal request using the trained voice response system and a similar and closely located user's personalized vocabulary, as necessary, wherein the similar and closely located user is identified using a regional linguistic corpus which employs an ontology for similarity of vocabulary.
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