System and method for determining a personal SHG profile by voice analysis

• US 7,917,366 B1
• Filed: 09/28/2006
• Issued: 03/29/2011
• Est. Priority Date: 03/24/2000
• Status: Active Grant

• Current Assignee: Beyond Verbal Communication, Ltd. (Vocalis Health, Inc.)
• Original Assignee: Exaudios Technologies Ltd.
• Inventors: Lossos-Shifrin, Lan, Levanon, Yoram
• Primary Examiner(s): Armstrong; Angela A
• Application Number:
  US11/536,530
• Time in Patent Office: 1,643 Days
• Field of Search: 704/205, 704/206, 704/251, 704/270
• US Class Current: 704/270
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices

Abstract

According to one embodiment of the present invention a computerized voice-analysis device for determining an S,H,G profile is provided (as described herein, such an S,H,G profile relates to the strengths (e.g., relative strengths) of three human instinctive drives). Of note, the present invention may be used for one or more of the following: analyzing a previously recorded voice sample; real-time analysis of voice as it is being spoken; combination voice analysis—that is, a combination of: (a) previously recorded and/or real-time voice; and (b) answers to a questionnaire.

Claims

1. A method for analyzing a voice of a speaker, comprising:

(1) receiving, by a computer, data indicative of speech from the speaker;

(2) storing, by a computer, the received data in at least one database;

(3) calculating, by a computer, based upon the received data, an average intensity value for each of a plurality of frequencies, wherein the calculation of the average intensity value for each frequency is based on;

i) dividing, by a computer, the received data into a number of time periods;

ii) obtaining, by a computer, an intensity of the speaker'"'"'s speech for each frequency during each time period;

iii) obtaining, by a computer, a sum of intensity values for each frequency during all time periods; and

iv) dividing, by a computer, the sum of intensity values for each frequency by the number of time periods;

(4) calculating, by a computer, based upon the received data, a maximum intensity value for each of the plurality of frequencies, wherein the maximum intensity value for each frequency is the highest intensity of the speaker'"'"'s speech for each frequency during all time periods;

(5) calculating, by a computer, a level of a survival element of a personality profile of the speaker based upon at least one of;

(a) a rapid change in the average intensity value between at least a portion of the plurality of frequencies; and

(b) a rapid change in the maximum intensity value between at least a portion of the plurality of frequencies;

(6) calculating, by a computer, a level of a homeostasis element of the personality profile of the speaker by measuring a distance the average intensity value and the maximum intensity for each frequency of at least a portion of the plurality of frequencies;

(7) calculating, by a computer, a level of a growth element of the personality profile of the speaker based upon at least one of;

(a) determining, by a computer, a frequency range within at least a portion of the plurality of frequencies in which the average intensity value of each frequency within the frequency range is higher by a predetermined percent than a highest average intensity among the at least a portion of the plurality of frequencies,

(b) determining, by a computer, at least one frequency within at least a portion of the plurality of frequencies that has the highest maximum intensity value among the at least a portion of the plurality of frequencies, and

(c) determining, by a computer, a level of correlation between changes in intensity values during the time periods of a first frequency and changes in intensity values during the time periods of a second frequency; and

(8) outputting, by a computer, an indicator of the personality profile of the speaker based upon a combination of the calculated level of the survival element of the speaker, the calculated level of the homeostasis element of the speaker, and the calculated level of the growth element of the speaker, wherein the indicator of the personality profile of the speaker is associated with at least one personality profile from a plurality of personal profiles which are calculated, by a computer, based on all possible mathematical permutations among levels of grading for at least two of;

a) the survival element,

b) the homeostasis element, and

c) the growth element.

2. The method of claim 1, wherein the calculated level of the survival element comprises one of three possible levels, wherein the calculated level of the homeostasis element comprises one of three possible levels, wherein the calculated level of the growth element comprises one of three possible levels, and wherein the indicator of the personality profile comprises one of twenty-seven possible combinations of the levels of the survival element, the homeostasis element and the growth element.

3. The method of claim 1, wherein the calculated level of the survival element comprises one of six possible levels, wherein the calculated level of the homeostasis element comprises one of six possible levels, wherein the calculated level of the growth element comprises one of six possible levels, and wherein the indicator of the personality profile comprises one of two-hundred and sixteen possible combinations of the levels of the survival element, the homeostasis element and the growth element.

4. The method of claim 1, wherein the indicator of the personality profile comprises one of six possible combinations of the two highest levels selected from the group consisting of the calculated level of the survival element, the calculated level of the homeostasis element, and the calculated level of the growth element.

5. The method of claim 1, wherein the data indicative of speech from the speaker is received in essentially real-time, as the speaker is speaking.

6. The method of claim 1, wherein the data indicative of speech from the speaker is received from a recording of previously spoken speech.

7. The method of claim 1, wherein the data indicative of speech from the speaker is received via a telephone.

8. The method of claim 1, wherein the output indicator of the personality profile of the speaker is compared to results of a questionnaire.

9. The method of claim 8, wherein the output indicator of the personality profile of the speaker is compared to the results of the questionnaire to validate the results of the questionnaire.

10. The method of claim 8, wherein the output indicator of the personality profile of the speaker is compared to the results of the questionnaire to supplement the results of the questionnaire.

11. The method of claim 8, wherein the output indicator of the personality profile of the speaker is compared to the results of the questionnaire to validate the results of the voice analysis.

12. The method of claim 8, wherein the output indicator of the personality profile of the speaker is compared to the results of the questionnaire to supplement the results of the voice analysis.

13. The method of claim 1, wherein each of the time periods is essentially the same.

14. The method of claim 1, wherein each of the time periods is essentially the same.

15. The method of claim 1, wherein each of the time periods is essentially the same.

16. The method of claim 1, wherein the output indicator of the personality profile is utilized in at least one of:

(a) personalized advertising;

(b) personalized marketing;

(c) personalized sales;

(d) insurance company use;

(e) police department use; and

(f) dating service use.

17. The method of claim 16, wherein the output indicator of the personality profile is utilized to help determine what to say to the speaker.

18. The method of claim 16, wherein the output indicator of the personality profile is utilized to help determine when to say something to the speaker.

19. The method of claim 1, wherein each of the steps is carried out using at least one of computer hardware and computer software.

20. The method of claim 1, wherein each of the steps is carried out in the order recited.

21. The method of claim 1, wherein the output indicator of the personality profile of a first person is utilized to help determine whether the first person and a second person are compatible with one another as a couple.

22. The method of claim 21, wherein the output indicator of the personality profile of the first person and an output indicator of the personality profile of the second person are utilized to help determine whether the first person and a second person are compatible with one another as a couple.

23. The method of claim 1, wherein the output indicator of the personality profile of a first person is utilized to help determine whether the first person and a second person are compatible with one another as co-workers.

24. The method of claim 23, wherein the output indicator of the personality profile of the first person and an output indicator of the personality profile of the second person are utilized to help determine whether the first person and a second person are compatible with one another as co-workers.