IP Library Granted Patent US 9,875,744
Granted Patent B2
US 9,875,744 · App. 15/467,028 · Granted Jan 23, 2018

Method and device for voice recognition training

Inventors: Michael E. Gunn (Barrington, IL); Boris Bekkerman (Highwood, IL); Mark A. Jasiuk (Chicago, IL); Pratik M. Kamdar (Gurnee, IL); Jeffrey A. Sierawski (Wauconda, IL)
Assignee: Google Technology Holdings LLC
G10L17/04G10L17/20G10L25/84H04W88/02
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Quick Facts
Patent No.
US 9,875,744
App. No.
15/467,028
Granted
Jan 23, 2018
Kind
B2
Abstract

A method on a mobile device for voice recognition training is described. A voice training mode is entered. A voice training sample for a user of the mobile device is recorded. The voice training mode is interrupted to enter a noise indicator mode based on a sample background noise level for the voice training sample and a sample background noise type for the voice training sample. The voice training mode is returned to from the noise indicator mode when the user provides a continuation input that indicates a current background noise level meets an indicator threshold value.

Claims (31)

1. A computer-implemented method comprising:

providing, by a mobile computing device, a first user interface indicating that (i) a background noise indicator mode is active, and (ii) a background noise loudness satisfies a loudness threshold or a background noise variance satisfies a variance threshold, the first user interface including a disabled continuation indicator;

upon determining that the background noise loudness no longer satisfies the loudness threshold or the background noise variance no longer satisfies the variance threshold, enabling, by the mobile computing device, the disabled continuation indicator include on the first user interface; and

in response to receiving data indicating a selection of the enabled continuation indicator, providing, by the mobile computing device, a second user interface indicating that (i) a voice training mode is active, and (ii) a voice training sample is to be spoken by a user.

2. The method of claim 1 , wherein the first user interface includes a dial-type interface and a needle that indicates a level of the background noise.

3. The method of claim 1 , wherein the first user interface does not indicate that (i) the voice training mode is active, and (ii) the voice training sample is to be spoken by the user.

4. The method of claim 1 , wherein the second user interface does not indicate that (i) the background noise indicator mode is active, and (ii) the background noise loudness satisfies the loudness threshold or the background noise variance satisfies the variance threshold.

5. The method of claim 1 , wherein the loudness threshold is based on the background noise variance.

6. The method of claim 1 , comprising:

after providing the second user interface and before the voice training sample is spoken by the user, automatically providing, by the mobile computing device, the first user interface based on the background noise loudness satisfying the loudness threshold or the background noise variance satisfying the variance threshold.

7. A system comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

providing, by a mobile computing device, a first user interface indicating that (i) a background noise indicator mode is active, and (ii) a background noise loudness satisfies a loudness threshold or a background noise variance satisfies a variance threshold, the first user interface including a disabled continuation indicator;

upon determining that the background noise loudness no longer satisfies the loudness threshold or the background noise variance no longer satisfies the variance threshold, enabling, by the mobile computing device, the disabled continuation indicator include on the first user interface; and

in response to receiving data indicating a selection of the enabled continuation indicator, providing, by the mobile computing device, a second user interface indicating that (i) a voice training mode is active, and (ii) a voice training sample is to be spoken by a user.

8. The system of claim 7 , wherein the first user interface includes a dial-type interface and a needle that indicates a level of the background noise.

9. The system of claim 7 , wherein the first user interface does not indicate that (i) the voice training mode is active, and (ii) the voice training sample is to be spoken by the user.

10. The system of claim 7 , wherein the second user interface does not indicate that (i) the background noise indicator mode is active, and (ii) the background noise loudness satisfies the loudness threshold or the background noise variance satisfies the variance threshold.

11. The system of claim 7 , wherein the loudness threshold is based on the background noise variance.

12. The system of claim 7 , wherein the operations further comprise:

after providing the second user interface and before the voice training sample is spoken by the user, automatically providing, by the mobile computing device, the first user interface based on the background noise loudness satisfying the loudness threshold or the background noise variance satisfying the variance threshold.

13. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

providing, by a mobile computing device, a first user interface indicating that (i) a background noise indicator mode is active, and (ii) a background noise loudness satisfies a loudness threshold or a background noise variance satisfies a variance threshold, the first user interface including a disabled continuation indicator;

upon determining that the background noise loudness no longer satisfies the loudness threshold or the background noise variance no longer satisfies the variance threshold, enabling, by the mobile computing device, the disabled continuation indicator include on the first user interface; and

in response to receiving data indicating a selection of the enabled continuation indicator, providing, by the mobile computing device, a second user interface indicating that (i) a voice training mode is active, and (ii) a voice training sample is to be spoken by a user.

14. The medium of claim 13 , wherein the first user interface includes a dial-type interface and a needle that indicates a level of the background noise.

15. The medium of claim 13 , wherein the first user interface does not indicate that (i) the voice training mode is active, and (ii) the voice training sample is to be spoken by the user.

16. The medium of claim 13 , wherein the second user interface does not indicate that (i) the background noise indicator mode is active, and (ii) the background noise loudness satisfies the loudness threshold or the background noise variance satisfies the variance threshold.

17. The medium of claim 13 , wherein the operations further comprise:

after providing the second user interface and before the voice training sample is spoken by the user, automatically providing, by the mobile computing device, the first user interface based on the background noise loudness satisfying the loudness threshold or the background noise variance satisfying the variance threshold.

18. The medium of claim 13 , wherein the loudness threshold is based on the background noise variance.

Assignments (3)
CHANGE OF NAME Recorded Oct 20, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044567/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 23, 2017
From: GUNN, MICHAEL E.; BEKKERMAN, BORIS; JASIUK, MARK A.; KAMDAR, PRATIK M.; SIERAWSKI, JEFFREY A.
To: MOTOROLA MOBILITY LLC
Reel/Frame 041698/0229 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 23, 2017
From: MOTOROLA MOBILITY LLC
To: GOOGLE TECHNOLOGY HOLDINGS LLC
Reel/Frame 042077/0001 →
Continuity (5)
Continuation 15466448 · Mar 22, 2017
Continuation 14142210 · Dec 27, 2013
Provisional Application 61892527 · Oct 18, 2013
Provisional Application 61857696 · Jul 23, 2013
Related Publication 20170194007A1 · Jul 6, 2017