Systems and methods for determining traits based on voice analysis
Systems and methods are provided herein for determining one or more traits of a speaker based on voice analysis to present content item to the speaker. In one example, the method receives a voice query and determines whether the voice query matches within a first confidence threshold of a speaker identification (ID) among a plurality of speaker IDs stored in a speaker profile. In response to determining that the voice query matches to the speaker ID within the first confidence threshold, the method bypasses a trait prediction engine and retrieves a trait among the plurality of traits in the speaker profile associated with the matched speaker ID. The method further provides a content item based on the retrieved trait.
1. A method comprising:
receiving a voice query;
generating a biometric fingerprint of the voice query;
comparing the generated biometric fingerprint with a plurality of biometric fingerprints stored within a profile of a user;
determining whether a match exists between the generated biometric fingerprint and one of the plurality of biometric fingerprints stored within the profile of the user, wherein the match is associated with a confidence score;
in response to determining that the confidence score associated with the match is above a first confidence threshold, retrieving a trait stored in the profile of the user that is associated with the matched biometric fingerprint of the plurality of biometric fingerprints; and
in response to determining that the confidence score associated with the match is below the first confidence threshold and above a second confidence threshold:
determining a trait corresponding to the generated biometric fingerprint; and
updating the plurality of biometric fingerprints stored within the profile of the user with the determined trait corresponding to the generated biometric fingerprint.
2. The method of claim 1 , wherein the biometric fingerprint represents at least one of a tone, a pitch or a pace of a voice of the user.
3. The method of claim 1 , wherein the profile of the user is a database.
4. The method of claim 3 , wherein each of the plurality of biometric fingerprints stored within the database is associated with a unique speaker identification (ID) respectively.
5. The method of claim 1 , wherein determining whether the match exists comprises:
comparing the traits associated with the generated biometric fingerprint with the traits associated with each of the plurality of biometric fingerprints stored within the profile of the user respectively; and
generating the confidence score based on a correlation between the compared traits.
6. The method of claim 1 , wherein the first confidence threshold is pre-determined based on speech features previously captured from the voice query.
7. The method of claim 1 , wherein retrieving the trait stored in the profile of the user comprises:
using a trait determination application to access a database containing the plurality of biometric fingerprints.
8. The method of claim 1 , wherein the trait may be one of an age range, a gender or an ethnicity.
9. The method of claim 1 , wherein updating the plurality of biometric fingerprints comprises:
replacing the matched biometric fingerprint stored in the profile of the user with the biometric fingerprint generated from the voice query.
10. The method of claim 1 , further comprising:
in response to determining that the confidence score associated with the match is below the second confidence threshold:
triggering a trait determination application to determine a second trait based on the generated biometric fingerprint of the voice query; and
updating the plurality of biometric fingerprints stored within the profile of the user with the second trait.
11. A system comprising:
a memory; and
control circuitry configured to:
receive a voice query;
generate a biometric fingerprint of the voice query;
compare the generated biometric fingerprint with a plurality of biometric fingerprints stored within a profile of a user in the memory;
determine whether a match exists between the generated biometric fingerprint and one of the plurality of biometric fingerprints stored within the profile of the user, wherein the match is associated with a confidence score;
in response to determining that the confidence score associated with the match is above a first confidence threshold, retrieve a trait stored in the profile of the user that is associated with the matched biometric fingerprint of the plurality of biometric fingerprints; and
in response to determining that the confidence score associated with the match is below the first confidence threshold and above a second confidence threshold:
determine a trait corresponding to the generated biometric fingerprint; and
update the plurality of biometric fingerprints stored within the profile of the user with the determined trait corresponding to the generated biometric fingerprint.
12. The system of claim 11 , wherein the biometric fingerprint represents at least one of a tone, a pitch or a pace of a voice of the user.
13. The system of claim 11 , wherein the profile of the user is a database.
14. The system of claim 13 , wherein each of the plurality of biometric fingerprints stored within the database is associated with a unique speaker identification (ID) respectively.
15. The system of claim 11 , wherein control circuitry is further configured to:
compare the traits associated with the generated biometric fingerprint with the traits associated with each of the plurality of biometric fingerprints stored within the profile of the user respectively; and
generate the confidence score based on a correlation between the compared traits.
16. The system of claim 11 , wherein the first confidence threshold is pre-determined based on speech features previously captured from the voice query.
17. The system of claim 11 , wherein control circuitry is further configured to:
use a trait determination application to access a database containing the plurality of biometric fingerprints.
18. The system of claim 11 , wherein the trait may be one of an age range, a gender or an ethnicity.
19. The system of claim 11 , wherein control circuitry is further configured to:
replace the matched biometric fingerprint stored in the profile of the user with the biometric fingerprint generated from the voice query.
20. The system of claim 11 , wherein control circuitry is further configured to:
in response to determining that the confidence score associated with the match is below the second confidence threshold:
trigger a trait determination application to determine a second trait based on the generated biometric fingerprint of the voice query; and
update the plurality of biometric fingerprints stored within the profile of the user with the second trait.