SPEECH RECOGNITION METHOD OF SENTENCE HAVING MULTIPLE INSTRUCTIONS

• US 20140244258A1
• Filed: 10/18/2013
• Published: 08/28/2014
• Est. Priority Date: 02/25/2013
• Status: Abandoned Application

• Current Assignee: Mediazen Company Limited
• Original Assignee: Mediazen Company Limited
• Inventors: SONG, Minkyu, KIM, Hyejin, KIM, Sangyoon
• Application Number:
  US14/058,088
• Publication Number:
  US 20140244258A1
• Time in Patent Office: Days
• US Class Current: 704/249
• 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 2015/223 Execution procedure of a spoken command

Abstract

A voice recognition method for a single sentence including a multi-instruction in an interactive voice user interface, method includes steps of detecting a connection ending by analyzing the morphemes of a single sentence on which voice recognition has been performed, separating the single sentence into a plurality of passages based on the connection ending, detecting a multi-connection ending by analyzing the connection ending and extracting instructions by specifically analyzing passages including the multi-connection ending and outputting a multi-instruction included in the single sentence by combining the instructions extracted in the step of extracting instructions. In accordance with the present invention, consumer usability can be significantly increased because a multi-operation intention can be checked in one sentence.

Claims

1. A voice recognition method for a single sentence comprising multiple instructions, the method comprising steps of:

(i) detecting a connection ending by analyzing morphemes of a single sentence on which voice recognition has been performed;

(ii) separating the single sentence into a plurality of passages based on the connection ending;

(iii) detecting a multi-connection ending by analyzing the connection ending and extracting instructions by specifically analyzing passages comprising the multi-connection ending; and

(iv) outputting a multi-instruction included in the single sentence by combining the instructions extracted at step (iii).

2. The voice recognition method of claim 1, wherein the multi-connection ending is any one of a multi-operation connection ending, a consecutive connection ending, and a time connection ending.

3. The voice recognition method of claim 2, wherein the multi-operation connection ending is any one selected from a group consisting of ‘

-go (and, -)’

, ‘

-wa (and, -)’

, ‘

-gwa (and, -)’

, and ‘

-lang (and, -)’

.

4. The voice recognition method of claim 2, wherein the consecutive connection ending comprises ‘

-umyeonseo (and, -)’

.

5. The voice recognition method of claim 2, wherein the time connection ending is any one selected from a group consisting of ‘

-go (and, -)’

, ‘

-umyeo (and, -)’

, ‘

-umyeonseo (and, -)’

, ‘

-ja (as soon as, -)’

, and ‘

-jamaja (as soon as, -)’

.

6. The voice recognition method of claim 1, wherein the step (iv) is a process of generating a control signal corresponding to the multi-instruction and sending the control signal to a corresponding device.

7. The voice recognition method of claim 1, wherein the step (i) comprises processes of:

recognizing a user'"'"'s voice for the single sentence;

analyzing the morphemes of the single sentence through a morpheme analyzer; and

detecting the connection ending from the morphemes through a multi-connection ending database (DB).

8. The voice recognition method of claim 1, wherein the step (iii) comprises:

an analysis target determination process of detecting the multi-connection ending by analyzing the connection ending and classifying the multi-connection ending into a subject of analysis and a subject of non-analysis depending on whether the multi-connection ending is present or not, and

extracting the instructions by matching passages, corresponding to the subject of analysis, with a language information DB 60 in which a language information dictionary has been previously constructed.

9. The voice recognition method of claim 8, wherein the language information DB comprises a meaning hierarchy word DB and a sentence pattern DB.

10. The voice recognition method of claim 8, wherein the instruction extraction process comprises processes of:

extracting meaning values by matching the passages, corresponding to the subject of analysis, with the language information DB;

analyzing a type of sentence of the passages from which the meaning values have been extracted;

classifying the type of analyzed sentence into a subject of output processing and a subject of error processing through a previously constructed sentence pattern DB; and

extracting an instruction by assigning a final operation value to a passage selected as the subject of output processing.