Method for correcting a speech response and natural language dialogue system

• US 9,466,295 B2
• Filed: 12/30/2013
• Issued: 10/11/2016
• Est. Priority Date: 12/31/2012
• Status: Active Grant

• Current Assignee: VIA Technologies Incorporated (VIA Technologies)
• Original Assignee: VIA Technologies Incorporated (VIA Technologies)
• Inventors: Zhang, Guo-Feng
• Primary Examiner(s): He, Jialong
• Application Number:
  US14/142,932
• Publication Number:
  US 20140188477A1
• Time in Patent Office: 1,016 Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/088 Word spotting

Abstract

A natural language dialog system and a method capable of correcting a speech response are provided. The method includes following steps. A first speech input is received. At least one keyword included in the first speech input is parsed to obtain a candidate list having at least one report answers. One of the report answers is selected from the candidate list as a first report answer, and a first speech response is output according to the first report answer. A second speech input is received and parsed to determine whether the first report answer is correct. If the first report answer is incorrect, another report answer other than the first report answer is selected from the candidate list as a second report answer. According to the second report answer, a second speech response is output.

Claims

1. A method for correcting a speech response, the method comprising:

receiving a first speech input;

parsing at least one first keyword included in the first speech input to obtain a candidate list, wherein the candidate list has a plurality of report answers;

selecting one of the report answers from the candidate list as a first report answer and outputting a first speech response according to the first report answer;

receiving and parsing a second speech input to determine whether the first report answer is correct; and

if the first report answer is incorrect, selecting another report answer other than the first report answer from the candidate list as a second report answer and outputting a second speech response according to the second report answer,

wherein, each of the report answers has a priority, the priorities of the report answers of the candidate list are determined according to usages of the report answers, the first report answer is one of the report answers with the highest priority, and the second report answer is one of the report answers with the second highest priority,

wherein the step of selecting the first report answer comprises;

parsing a third speech input and obtaining at least one third keyword, wherein the third speech input is inputted before the first speech input; and

selecting one of the report answers matching the at least one first keyword and the at least one third keyword as the first report answer.

2. The method as recited in claim 1, wherein the step of determining whether the first report answer is correct comprises:

parsing the second speech input to obtain a second keyword; and

determining the first report answer is incorrect if the second keyword does not match a user'"'"'s intention in the first report answer.

3. The method as recited in claim 2, wherein the step of selecting the another report answer other than the first report answer from the candidate list as the second report answer comprises:

selecting the another report answer matching the second keyword from the candidate list as the second report answer according to the second keyword.

4. The method as recited in claim 2, wherein the step of selecting the another report answer other than the first report answer from the candidate list as the second report answer further comprises:

outputting a third speech response if the first report answer is incorrect and if the candidate list does not have any report answer matching the second keyword.

5. The method as recited in claim 1, further comprising:

arranging the report answers in the candidate list according to the priorities.

6. The method as recited in claim 5, wherein the step of arranging the report answers in the candidate list according to the priorities comprises:

determining the priorities of the report answers according to a public usage habit.

7. The method as recited in claim 5, wherein the step of arranging the report answers in the candidate list according to the priorities further comprises:

determining the priorities of the report answers according to a user'"'"'s preference.

8. The method as recited in claim 5, wherein the step of arranging the report answers in the candidate list according to the priorities further comprises:

determining the priorities of the report answers according to a user'"'"'s habit.

9. A natural language dialogue system comprising:

a processor programmed to execute;

a speech sampling module receiving a first speech input; and

a natural language comprehension system coupled to the speech sampling module, the natural language comprehension system parsing a first keyword included in the first speech input to obtain a candidate list, the candidate list having a plurality of report answers, the natural language comprehension system selecting one of the report answers from the candidate list as a first report answer and outputting a first speech response according to the first report answer, the speech sampling module receiving a second speech input, the natural language comprehension system parsing the second speech input to determine whether the first report answer is correct, and if the first report answer is incorrect, the natural language comprehension system selects another report answer other than the first report answer as a second report answer and outputs a second speech response according to the second report answer,

wherein, each of the report answers has a priority, the priorities of the report answers of the candidate list are determined according to usages of the report answers, the first report answer is one of the report answers with the highest priority, and the second report answer is one of the report answers with the second highest priority,

wherein the natural language comprehension system parses a third speech input to obtain a third keyword, the third speech input is received by the speech sampling module before the first speech input is received, and the natural language comprehension system selects one of the report answers matching the first keyword and the third keyword as the first report answer.

10. The natural language dialogue system as recited in claim 9, wherein the natural language comprehension system parses the second speech input to obtain a second keyword, and if the second keyword does not match a user'"'"'s intention included in the first report answer, the natural language comprehension system determines the first report answer is incorrect.

11. The natural language dialogue system as recited in claim 10, wherein the natural language comprehension system selects the second report answer matching the second keyword from the candidate list according to the second keyword.

12. The natural language dialogue system as recited in claim 10, wherein if the first report answer is incorrect and if the candidate list does not have any report answer matching the second keyword, the natural language comprehension system outputs a third speech response.

13. The natural language dialogue system as recited in claim 9, wherein the natural language comprehension system arranges the report answers in the candidate list according to a plurality of priorities.

14. The natural language dialogue system as recited in claim 13, wherein the natural language comprehension system determines the priorities of the report answers according to a public usage habit.

15. The natural language dialogue system as recited in claim 13, wherein the natural language comprehension system determines the priorities of the report answers according to a user'"'"'s preference.

16. The natural language dialogue system as recited in claim 13, wherein the natural language comprehension system determines the priorities of the report answers according to a user'"'"'s habit.