Method and device for voice recognition training
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.
1. A computer-implemented method comprising:
providing, by a mobile computing device, a first user interface indicating that (i) a voice training mode is active, and (ii) a voice training sample is to be spoken by a user;
before the voice training sample is spoken by the user, automatically providing, by the mobile computing device, a second 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; and
upon determining that the background noise loudness no longer satisfies the loudness threshold and the background noise variance no longer satisfies the variance threshold, enabling, by the mobile computing device, a selectable control that is configured to, upon selection by the user, provide the first user interface.
2. The method of claim 1 , wherein the second 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 second 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 first 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 background noise loudness satisfies the loudness threshold based on the background loudness being greater than the loudness threshold.
6. The method of claim 5 , wherein the loudness threshold is based on the background noise variance.
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 voice training mode is active, and (ii) a voice training sample is to be spoken by a user;
before the voice training sample is spoken by the user, automatically providing, by the mobile computing device, a second 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; and
upon determining that the background noise loudness no longer satisfies the loudness threshold and the background noise variance no longer satisfies the variance threshold, enabling, by the mobile computing device, a selectable control that is configured to, upon selection by the user, provide the first user interface.
8. The system of claim 7 , wherein the second 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 second 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 first 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 background noise loudness satisfies the loudness threshold based on the background loudness being greater than the loudness threshold.
12. The system of claim 11 , wherein the loudness threshold is based on the background noise variance.
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 voice training mode is active, and (ii) a voice training sample is to be spoken by a user;
before the voice training sample is spoken by the user, automatically providing, by the mobile computing device, a second user interface indicating that (i) a background noise indicator mode is active, and (ii) a background noise loudness satisfies a loudness threshold and the background noise variance satisfies a variance threshold; and
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, a selectable control that is configured to, upon selection by the user, provide the first user interface.
14. The medium of claim 13 , wherein the second 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 second 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 first 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 background noise loudness satisfies the loudness threshold based on the background loudness being greater than the loudness threshold.
18. The medium of claim 17 , wherein the loudness threshold is based on the background noise variance.