Linguistic model database for linguistic recognition, linguistic recognition device and linguistic recognition method, and linguistic recognition system

• US 10,217,455 B2
• Filed: 04/28/2017
• Issued: 02/26/2019
• Est. Priority Date: 03/21/2013
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Cho, Kyung-sun, Choi, Young-Il
• Primary Examiner(s): Godbold, Douglas
• Application Number:
  US15/581,633
• Publication Number:
  US 20170229118A1
• Time in Patent Office: 669 Days
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 40/171 by use of digital ink
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G10L 15/00 Speech recognition G10L17/00 takes precedence
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/0635 updating or merging of old and new templates; Mean values; Weighting
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology

Abstract

A method of building a database for a linguistic recognition device is provided The method includes storing common linguistic model data configured to infer a word or a sentence from a character acquired by recognizing a language input by a user in a storage section of a linguistic recognition device, collecting recognition-related information related to the user after storing the common linguistic data, and analyzing the collected recognition-related information to be stored as individual linguistic model data.

Claims

1. A voice recognition device, comprising:

a user input receiver configured to receive a voice input of a first user;

a communicator configured to communicate with an external server, which stores common recognition data of general purpose for a plurality of users and individual recognition data for individual users; and

at least one processor configured to;

determine whether information of the received voice input is included in the common recognition data,

in response to the information of the received voice input being included in the common recognition data, determine a first recognition result of the voice input based on the common recognition data,

in response to the information of the received voice input being not included in the common recognition data, determine a second recognition result of the voice input based on the individual recognition data, and

perform an operation corresponding to the voice input based on one of the first recognition result or the second recognition result according to the determined recognition result, or transmit one of the first recognition result or the second recognition result according to the determined recognition result to a plurality of electronic apparatuses used by the first user such that at least one of the plurality of electronic apparatus performs the operation based on the transmitted recognition result,

wherein the individual recognition data comprises user history information, which has been input in at least one electronic apparatus by the first user or has been transceived from and to another electronic apparatus.

2. The voice recognition device of claim 1, wherein the at least one processor controls the communicator to transmit the information of the received voice input to the external server and receive the recognition result of voice input determined based on the stored common recognition data or the stored individual recognition data from the external server.

3. The voice recognition device of claim 1, wherein the individual recognition data is acquired by analyzing at least one of an individual unique language pattern, a user member group language pattern, or a real-time word on the world wide web.

4. The voice recognition device of claim 1, wherein the external server comprises a cloud server.

5. The voice recognition device of claim 1, wherein the user input receiver is further configured to receive a character input of the first user.

6. The voice recognition device of claim 4, wherein the individual recognition data is collected for a predetermined period of time through the plurality of the electronic apparatus used by the first user and transmitted to the cloud server.

7. A voice recognition method, the method comprising:

receiving a voice input of a first user;

communicating with an external server, which stores common recognition data of general purpose for a plurality of users and individual recognition data for individual users;

determining whether information of the received voice input is included in the common recognition data;

in response to the information of the received voice input being included in the common recognition data, determining a first recognition result of the voice input based on the common recognition data;

in response to the information of the received voice input being not included in the common recognition data, determining a second recognition result of the voice input based on the individual recognition data; and

performing an operation corresponding to the voice input based on one of the first recognition result or the second recognition result according to the determined recognition result, or transmitting one of the first recognition result or the second recognition result according to the determined recognition result to a plurality of electronic apparatuses used by the first user such that at least one of the plurality of electronic apparatus performs the operation based on the transmitted recognition result,

wherein the individual recognition data comprises user history information, which has been input in at least one electronic apparatus by the first user or has been transceived from and to another electronic apparatuses.

8. The method of claim 7, further comprising:

transmitting the information of the received voice input to the external server; and

receiving the recognition result of voice input determined based on the stored common recognition data or the stored individual recognition data from the external server.

9. The method of claim 7, wherein the individual recognition data is acquired by analyzing at least one of an individual unique language pattern, a user member group language pattern, or a real-time word on the world wide web.