Abstract: Provided is a storage system for voice recording information based on a blockchain. The storage system for voice recording information comprises: a voice-to-text conversion device for converting a voice recording file into a text file using a preset voice-to-text conversion algorithm, and outputting the converted text file and information on the voice-to-text conversion algorithm; a blockchain network consisting of a plurality of participating nodes, and configured to generate blocks including the text file and information on the voice-to-text conversion algorithm output from the voice-to-text conversion device according to a preset consensus algorithm, and to store the generated blocks on the blockchain; and a data storage device for storing the original voice recording file, wherein the storage system reliably stores the text file for the voice recording file.

Abstract: Provided is a voice conversation method using a bi-directional LSTM (Bi-LSTM) memory network.

Abstract: Provided is a voice conversation method using a bi-directional LSTM (Bi-LSTM) memory network.

Abstract: Provided is a speech recognition method using machine learning, including: receiving a speech signal as an input, performing speech recognition to generate speech recognition result information including multiple candidate sentences and ranks of the respective candidate sentences; processing the multiple candidate sentences included in the speech recognition result information according to a machine learning model which is learned in advance and changing the ranks of the multiple candidate sentences to re-rank the multiple candidate sentences; and selecting the highest-rank candidate sentence among the re-ranked multiple candidate sentences as a speech recognition result.

Abstract: Provided is a speech recognition method using machine learning, including: receiving a speech signal as an input, performing speech recognition to generate speech recognition result information including multiple candidate sentences and ranks of the respective candidate sentences; processing the multiple candidate sentences included in the speech recognition result information according to a machine learning model which is learned in advance and changing the ranks of the multiple candidate sentences to re-rank the multiple candidate sentences; and selecting the highest-rank candidate sentence among the re-ranked multiple candidate sentences as a speech recognition result.

Abstract: An apparatus for providing robot interaction services using an interactive behavior model for interaction between a user and a robot includes: a control module having a behavior model engine for receiving an observation signal from the outside and determining and outputting an interactive behavior signal based on previously stored behavior and policy models; a robot application module for executing a robot application service and applying the behavior signal to provide the service; a robot function operating module having sensors for observing an external circumstance and a function operating means for performing behavior or function of the robot; and a middleware module for extracting external circumstance observation information and service history information and inputting the information to the control module as the observation signal, and for analyzing the behavior signal to generate and provide motion and function operating signals to the robot function operating module.

Abstract: An apparatus for providing robot interaction services using an interactive behavior model for interaction between a user and a robot includes: a control module having a behavior model engine for receiving an observation signal from the outside and determining and outputting an interactive behavior signal based on previously stored behavior and policy models; a robot application module for executing a robot application service and applying the behavior signal to provide the service; a robot function operating module having sensors for observing an external circumstance and a function operating means for performing behavior or function of the robot; and a middleware module for extracting external circumstance observation information and service history information and inputting the information to the control module as the observation signal, and for analyzing the behavior signal to generate and provide motion and function operating signals to the robot function operating module.