Patent Document ID: 9390426
Application ID: 13604006

Base Claim:
1. A personalized advertisement device based on a speech recognition SMS service, comprising: a speech recognition unit configured to convert input speech data into character strings; an emotion recognition unit configured to parse the input speech data to recognize an emotion state of a user; a position recognition unit configured to receive positional information of the user; a context parsing unit configured to parse the character strings from the speech recognition unit to grasp a context intention after the speech data has been completely converted into the character strings; an intention grasping unit configured to grasp a first intention of the user by using a partially recognized context intention while the speech data continues to be converted into the character strings and the positional information from the position recognition unit and the partially recognized context intention from the context parsing unit; and an advertising selection unit configured to extract a first advertisement from an advertising database, while the speech data continues to be converted by the speech recognition unit, and to transmit the extracted first advertisement to be displayed on user equipment, together with the character strings from the speech recognition unit, wherein the intention grasping unit is configured to grasp a second intention of the user by using completed results from the speech recognition unit, the emotion state of the user from the emotion recognition unit, and the positional information from the position recognition unit, and wherein the advertising selection unit is configured to extract an optimal second advertisement from the advertising database based on the second intention from the intention grasping unit and to transmit the extracted second advertisement to the user equipment after the speech data is completely converted into the character strings.

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Claim 2:
2. The personalized advertisement device of claim 1 , wherein the speech recognition unit includes: a feature vector string generation unit configured to convert the speech data into feature vectors for speech recognition; an acoustic model unit configured to include information obtained by modeling features and distributions generated by feature vectors for context-dependent phonemes configuring recognition object vocabularies; a word model unit configured to express information regarding words configuring recognition object vocabularies and connection and correlation between the words as probability information; and a Viterbi decoding unit configured to configure a search space using information from the acoustic model unit and information from the word unit model unit and perform recognition by extracting a word string having an optimal path for the speech feature vectors.