Voice analysis training system

• US 10,629,200 B2
• Filed: 03/07/2018
• Issued: 04/21/2020
• Est. Priority Date: 03/07/2017
• Status: Active Grant

• Current Assignee: Salesboost LLC
• Original Assignee: Salesboost LLC
• Inventors: Brooks, Margaret L
• Primary Examiner(s): Godbold, Douglas
• Application Number:
  US15/914,893
• Publication Number:
  US 20180261219A1
• Time in Patent Office: 776 Days
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G10L 15/10 using distance or distortion measures between unknown speech and reference templates
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/225 Feedback of the input speech
• CPC Class Codes: G10L 25/48 specially adapted for particular use

Abstract

A method for performing voice analysis includes storing a simulation file having a script for conducting a training session with a user. The method also stores desired attributes associated with the simulation file. The method also includes retrieving the simulation file and providing a user interface to conduct the voice analysis using the simulation file. The method further includes receiving one or more voice impressions from a user and analyzing at least one of the voice impressions of the user. The method additionally includes determining attributes of the at least one voice impression in response to analyzing the at least one voice impression and comparing the determined attributes to the desired attributes associated with the simulation file. The method provides feedback to the user based on the comparison.

Claims

1. A method for performing voice analysis, the method comprising:

storing, in a database, a simulation file for conducting a training session with a user, the simulation file including at least a script;

further storing, in the database, desired attributes associated with the simulation file;

retrieving, by a server, the simulation file from the database;

providing, by a client application, a user interface to conduct the voice analysis using the simulation file from the database;

receiving, at the client application, one or more voice impressions from a user;

analyzing, at an audio analysis tool, at least one of the voice impressions of the user;

determining, at the audio analysis tool, attributes of the at least one voice impression in response to analyzing the at least one voice impression;

comparing, at the audio analysis tool, the determined attributes to the desired attributes associated with the simulation file; and

providing, by the client application, feedback to the user based on the comparison;

wherein the determined attributes include an actual energy level and an actual sales effectiveness;

wherein the desired attributes includes an ideal energy level and an ideal sales effectiveness.

2. The method of claim 1, wherein storing the simulation file comprises storing snippets of the simulation file.

3. The method of claim 2, wherein storing the desired attributes comprises storing desired attributes for each snippet of the simulation file.

4. The method of claim 3, wherein storing the desired attributes further comprises storing acceptable ranges of the desired attributes.

5. The method of claim 4, and further comprising storing the feedback in the database.

6. The method of claim 5, wherein storing the feedback comprises storing feedback for each desired attribute.

7. The method of claim 6, wherein storing the feedback comprises storing feedback for a particular measured level of such desired feedback.

8. The method of claim 7, wherein storing the feedback further comprises storing feedback for each desired attribute for each segment.

9. The method of claim 8, wherein receiving one or more voice impressions from a user comprises receiving a plurality of snippets of the one or more voice impressions.

10. The method of claim 9, wherein analyzing at least one of the voice impressions comprises analyzing each of the plurality of snippets of the at least one of the voice impressions.

11. The method of claim 10, wherein determining attributes of the at least one voice impression comprises determining attributes of one of the plurality of snippets of the at least one voice impression.

12. The method of claim 11, wherein comparing the determined attributes to the desired attributes further comprises comparing the determined attributes of the one of the plurality of snippets of the at least one voice impression to the desired attributes of one of the snippets of the simulation file, wherein the snippet of the at least one voice impression is received in response to communicating the one of the snippets of the simulation file to the user during the voice analysis.

13. The method of claim 1, wherein each of the desired attributes include a particular attribute and a desired level of such attribute.

14. The method of claim 1, wherein providing feedback to the user based on the comparison includes the recommendation of a training course.

15. The method of claim 1, where providing feedback to the user based on the comparison includes an assessment of a proficiency level of the user.

16. The method of claim 1, wherein providing feedback to the user based on the comparison includes a recommendation to change the voice of the user.

17. The method of claim 1, wherein providing feedback to the user based on the comparison includes a recommendation to change the posture of the user.

18. The method of claim 1, wherein providing feedback to the user based on the comparison includes providing feedback on a plurality of different desired attributes associated with a particular snippet of the voice impression.

19. A voice analysis training system comprising:

a database configured to store a simulation file for conducting a training session with a user, the simulation file including at least a script, and wherein the database is further configured to store desired attributes associated with the simulation file;

a server in communication with the database and operable to retrieve the simulation file from the database;

a client application in communication with the server and operable to cause the display of a user interface to conduct the voice analysis using the simulation file, and wherein the client application receives one or more voice impressions from a user and communicates the one or more voice impressions to the server;

an audio analysis tool in communication with the server and operable to receive at least one of the voice impressions of the user and determine attributes of the at least one voice impression in response to analyzing the at least one voice impression, wherein the audio analysis tool is further operable to compare the determined attributes to the desired attributes associated with the simulation file; and

wherein the client application is operable to provide feedback to the user in response to the comparison;

wherein the determined attributes include an actual energy level and an actual sales effectiveness;

wherein the desired attributes includes an ideal energy level and an ideal sales effectiveness.

20. A non-transitory machine readable storage medium comprising instruction that, when executed, cause a processor to:

store, in a database, a simulation file for conducting a training session with a user, the simulation file including at least a script;

further store, in the database, desired attributes associated with the simulation file;

retrieve, by a server, the simulation file from the database;

provide, by a client application, a user interface to conduct the voice analysis using the simulation file from the database;

receive, at the client application, one or more voice impressions from a user;

analyze, at an audio analysis tool, at least one of the voice impressions of the user;

determine, at the audio analysis tool, attributes of the at least one voice impression in response to analyzing the at least one voice impression;

compare, at the audio analysis tool, the determined attributes to the desired attributes associated with the simulation file; and

provide, by the client application, feedback to the user based on the comparison;

wherein the determined attributes include an actual energy level and an actual sales effectiveness;

wherein the desired attributes includes an ideal energy level and an ideal sales effectiveness.