Method and device for voice recognition training

Patent metadata

Field	Value
Publication number	US-2017194007-A1
Application number	US-201715467028-A
Country	US
Kind code	A1
Filing date	Mar 23, 2017
Priority date	Jul 23, 2013
Publication date	Jul 6, 2017
Grant date	—

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.

First claim

1 . (canceled)

2 . 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) background noise is either too excessive or too variable to continue voice training, the first user interface including a disabled continuation indicator; upon determining that the background noise is either no longer too excessive or no longer too variable to continue voice training, 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.

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

4 . The method of claim 2 , 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.

5 . The method of claim 2 , wherein the second user interface does not indicate that the background noise indicator mode is active, and (ii) the background noise is either too excessive or too variable to continue voice training.

6 . The method of claim 2 , wherein the background noise is too excessive based on the background noise being greater than a noise threshold.

7 . The method of claim 6 , wherein the noise threshold is based on a variability of the background noise.

8 . The method of claim 2 , 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 being either too excessive or too.

9 . 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) background noise is either too excessive or too variable to continue voice training, the first user interface including a disabled continuation indicator;
upon determining that the background noise is either no longer too excessive or no longer too variable to continue voice training, 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.

10 . The system of claim 9 , wherein the first user interface includes a dial-type interface and a needle that indicates a level of the background noise.

11 . The system of claim 9 , 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.

12 . The system of claim 9 , wherein the second user interface does not indicate that the background noise indicator mode is active, and (ii) the background noise is either too excessive or too variable to continue voice training.

13 . The system of claim 9 , wherein the background noise is too excessive based on the background noise being greater than a noise threshold.

14 . The system of claim 13 , wherein the noise threshold is based on a variability of the background noise.

15 . The system of claim 9 , 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 being either too excessive or too.

16 . 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) background noise is either too excessive or too variable to continue voice training, the first user interface including a disabled continuation indicator; upon determining that the background noise is either no longer too excessive or no longer too variable to continue voice training, 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.

17 . The medium of claim 16 , wherein the first user interface includes a dial-type interface and a needle that indicates a level of the background noise.

18 . The medium of claim 16 , 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.

19 . The medium of claim 16 , wherein the second user interface does not indicate that the background noise indicator mode is active, and (ii) the background noise is either too excessive or too variable to continue voice training.

20 . The medium of claim 16 , wherein the background noise is too excessive based on the background noise being greater than a noise threshold.

21 . The medium of claim 16 , 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 being either too excessive or too.

Assignees

• Google Technology Holdings LLC

Inventors

• Gunn Michael E
• Bekkerman Boris
• Jasiuk Mark A
• Kamdar Pratik M
• Sierawski Jeffrey A

Classifications

• G06F3/04842

  Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

• H04W88/02

  Terminal devices · CPC title

• G10L2015/0638

  Interactive procedures · CPC title

• G10L17/04 Primary

  Training, enrolment or model building · CPC title

• G10L15/20

  Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech (G10L21/02 takes precedence) · CPC title