Method and apparatus for performing conversational opinion tests using an automated agent

• US 20070067172A1
• Filed: 09/22/2005
• Published: 03/22/2007
• Est. Priority Date: 09/22/2005
• Status: Abandoned Application

• Current Assignee: Lucent Technologies, Inc. (Nokia Corporation)
• Original Assignee: Lucent Technologies, Inc. (Nokia Corporation)
• Inventors: Lee, Minkyu, McGowan, James
• Application Number:
  US11/233,309
• Publication Number:
  US 20070067172A1
• Time in Patent Office: Days
• US Class Current: 704/257
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 25/69 for evaluating synthetic or decoded voice signals

Abstract

A method and apparatus for performing a conversational opinion test using a human tester and an automated agent (e.g., a computer program). The human tester and the automated agent advantageously converse by following a pre-defined script. A network simulation box, interposed between the human tester and the automated agent, advantageously controls the conversational channel characteristics such as, for example, background noise, delay and echo. After the conversation is finished, the tester evaluates the conversational quality as defined, for example, in the ITU-T P.800 standard.

Claims

1. A method for performing a conversational opinion test with use of an automated agent, the conversational opinion test for generating a quality evaluation of a conversation by a human tester, the conversation comprising a sequence of conversational speech segments and responsive speech segments, the method comprising the steps of:

receiving one or more conversational speech segments spoken by the human tester, the received conversational speech segments having been passed through a network simulator;

automatically producing, with use of said automated agent, one or more responsive speech segments, the one or more responsive speech segments responsive to corresponding ones of said one or more received conversational speech segments and determined based on a pre-defined script; and

playing said one or more automatically produced responsive speech segments through said network simulator back to said human tester.

2. The method of claim 1 wherein said step of automatically producing said one or more responsive speech segments comprises selecting one or more corresponding pre-recorded audio speech segments from a set of pre-recorded audio speech segments based on said pre-defined script.

3. The method of claim 1 wherein said step of automatically producing said one or more responsive speech segments comprises generating one or more corresponding audio speech segments based on one or more text segments comprised within said pre-defined script.

4. The method of claim 3 wherein said one or more audio speech segments are generated with use of a text-to-speech conversion technique.

5. The method of claim 1 wherein the network simulator operates in accordance with, and the quality evaluation of the conversation by the human tester is performed in accordance with, the ITU-T P.800 standard.

6. The method of claim 1 wherein the network simulator introduces network effects including noise, delay and echo into the conversation.

7. The method of claim 1 wherein said step of receiving the one or more conversational speech segments spoken by the human tester comprises detecting end points of the conversational speech segments with use of a voice activity detector.

8. The method of claim 1 wherein said step of receiving the one or more conversational speech segments spoken by the human tester comprises performing automatic speech recognition on said received conversational speech segments.

9. The method of claim 8 wherein said automatic speech recognition is performed with use of a speech-to-text conversion technique to generate one or more text segments corresponding to said one or more received conversational speech segments.

10. The method of claim 9 further comprising the step of comparing the one or more generated text segments with corresponding portions of the pre-defined script, and aborting the conversation when one of said generated text segments does not match the corresponding portion of the pre-defined script.

11. An automated agent for performing a conversational opinion test with a human tester, the conversational opinion test for generating a quality evaluation of a conversation by the human tester, the conversation comprising a sequence of conversational speech segments and responsive speech segments, the automated agent comprising:

means for receiving one or more conversational speech segments spoken by the human tester, the received conversational speech segments having been passed through a network simulator;

means for automatically producing one or more responsive speech segments, the one or more responsive speech segments responsive to corresponding ones of said one or more received conversational speech segments and determined based on a pre-defined script; and

means for playing said one or more automatically produced responsive speech segments through said network simulator back to said human tester.

12. The automated agent of claim 11 wherein said means for automatically producing said one or more responsive speech segments comprises means for selecting one or more corresponding pre-recorded audio speech segments from a set of pre-recorded audio speech segments based on said pre-defined script.

13. The automated agent of claim 11 wherein said means for automatically producing said one or more responsive speech segments comprises means for generating one or more corresponding audio speech segments based on one or more text segments comprised within said pre-defined script.

14. The automated agent of claim 13 wherein said one or more audio speech segments are generated with use of a text-to-speech conversion technique.

15. The automated agent of claim 11 wherein the network simulator operates in accordance with, and the quality evaluation of the conversation by the human tester is performed in accordance with, the ITU-T P.800 standard.

16. The automated agent of claim 11 wherein the network simulator introduces network effects including noise, delay and echo into the conversation.

17. The automated agent of claim 11 wherein said means for receiving the one or more conversational speech segments spoken by the human tester comprises a voice activity detector for detecting end points of the conversational speech segments.

18. The automated agent of claim 11 wherein said means for receiving the one or more conversational speech segments spoken by the human tester comprises performing automatic speech recognition on said received conversational speech segments.

19. The automated agent of claim 18 wherein said automatic speech recognition is performed with use of a speech-to-text converter which generates one or more text segments corresponding to said one or more received conversational speech segments.

20. The automated agent of claim 19 further comprising the means for comparing the one or more generated text segments with corresponding portions of the pre-defined script, whereby the conversation is aborted when one of said generated text segments does not match the corresponding portion of the pre-defined script.