Method of accessing a dial-up service
View Patent ↗A method of accessing a dial-up service is disclosed. An example method of providing access to a service includes receiving a first speech signal from a user to form a first utterance; recognizing the first utterance using speaker independent speaker recognition; requesting the user to enter a personal identification number; and when the personal identification number is valid, receiving a second speech signal to form a second utterance and providing access to the service.
1. A method comprising:
generating, via a processor, a feature coefficient based on a speech signal from a user;
comparing the feature coefficient to a user-specific codebook associated with the user, to yield a similarity value, wherein the user-specific codebook utilizes utterances from both the user and a group of non-users; and
when the similarity value meets a threshold:
adding the speech signal to a database of reference speech signals associated with the user-specific codebook; and
adding the feature coefficient to the user-specific codebook.
2. The method of claim 1 , further comprising:
mixing the speech signal with a second speech signal, to yield a mixed speech signal; and
adding the mixed speech signal to the database of reference speech signals.
3. The method of claim 2 , wherein the speech signal and the second speech signal are received from the user.
4. The method of claim 1 , wherein the feature coefficient is one of a cepstrum coefficient and a linear predictive coding coefficient.
5. The method of claim 1 , wherein the threshold is determined using a Chi-squared detector.
6. The method of claim 1 , further comprising:
when the similarity value does not meet the threshold, requesting the speech signal be repeated.
7. The method of claim 1 , further comprising verifying an identity of the user based on the similarity value.
8. A system comprising:
a processor; and
a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
generating a feature coefficient based on a speech signal from a user;
comparing the feature coefficient to a user-specific codebook associated with the user, to yield a similarity value, wherein the user-specific codebook utilizes utterances from both the user and a group of non-users; and
when the similarity value meets a threshold:
adding the speech signal to a database of reference speech signals associated with the user-specific codebook; and
adding the feature coefficient to the user-specific codebook.
9. The system of claim 8 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
mixing the speech signal with a second speech signal, to yield a mixed speech signal; and
adding the mixed speech signal to the database of reference speech signals.
10. The system of claim 9 , wherein the speech signal and the second speech signal are received from the user.
11. The system of claim 8 , wherein the feature coefficient is one of a cepstrum coefficient and a linear predictive coding coefficient.
12. The system of claim 8 , wherein the threshold is determined using a Chi-squared detector.
13. The system of claim 8 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
when the similarity value does not meet the threshold, requesting the speech signal be repeated.
14. The system of claim 8 , the computer-readable storage medium having additional instructions stored which result in operations comprising verifying an identity of the user based on the similarity value.
15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:
generating a feature coefficient based on a speech signal from a user;
comparing the feature coefficient to a user-specific codebook associated with the user, to yield a similarity value, wherein the user-specific codebook utilizes utterances from both the user and a group of non-users; and
when the similarity value meets a threshold:
adding the speech signal to a database of reference speech signals associated with the user-specific codebook; and
adding the feature coefficient to the user-specific codebook.
16. The computer-readable storage device of claim 15 , having additional instructions stored which, when executed by the computing device, cause the computing device to perform operations comprising:
mixing the speech signal with a second speech signal, to yield a mixed speech signal; and
adding the mixed speech signal to the database of reference speech signals.
17. The computer-readable storage device of claim 16 , wherein the speech signal and the second speech signal are received from the user.
18. The computer-readable storage device of claim 15 , wherein the feature coefficient is one of a cepstrum coefficient and a linear predictive coding coefficient.
19. The computer-readable storage device of claim 15 , wherein the threshold is determined using a Chi-squared detector.
20. The computer-readable storage device of claim 15 , having additional instructions stored which, when executed by the computing device, cause the computing device to perform operations comprising:
when the similarity value does not meet the threshold, requesting the speech signal be repeated.