IP Library Granted Patent US 9,570,094
Granted Patent B2
US 9,570,094 · App. 14/753,904 · Granted Feb 14, 2017

Multisensory speech detection

Inventors: Dave Burke (London, GB); Michael J. LeBeau (New York, NY); Konrad Gianno (Forch, CH); Trausti T. Kristjansson (Mountain View, CA); John Nicholas Jitkoff (Palo Alto, CA); Andrew W. Senior (New York, NY)
Assignee: Google Inc.
G10L25/78G06F3/0346G06F3/167G10L15/10G10L17/00H04M1/72569H04R1/08H04W4/026H04M2250/12H04M2250/74
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Quick Facts
Patent No.
US 9,570,094
App. No.
14/753,904
Granted
Feb 14, 2017
Kind
B2
Abstract

A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.

Claims (33)

1. A computer-implemented method, comprising:

identifying, by a mobile computing device, an identity of a person that is speaking into the mobile computing device;

selecting stored biometric information associated with the identified person;

determining, by the mobile computing device, that the identified person has stopped speaking into the mobile computing device based at least on the selected biometric information associated with the identified person; and

generating a transcription of the person's speech into the mobile device in response to determining that, based at least on the selected biometric information associated with the identified person, the identified person has stopped speaking into the mobile computing device.

2. The method of claim 1 , wherein identifying the identity of the person that is speaking into the mobile computing device comprises comparing auditory information received by a microphone of the mobile computing device to stored auditory profile information for the person that is speaking into the mobile computing device.

3. The method of claim 2 , wherein identifying the identity of the person that is speaking into the mobile computing device further comprises comparing the auditory information received by the microphone of the mobile computing device to stored auditory profile information for one or more persons other than the person speaking that is into the mobile computing device.

4. The method of claim 1 , wherein identifying the identity of the person that is speaking into the mobile computing device comprises using additional biometric information obtained by a camera of the mobile computing device to identify the identity of the person that is speaking into the mobile computing device.

5. The method of claim 1 , wherein determining that the identified person has stopped speaking into the mobile computing device is based further on information that is specific to the identified person.

6. The method of claim 1 , wherein identifying an identity of a person that is speaking into the mobile computing device determining that the person's speech is not background noise.

7. The method of claim 6 , wherein determining that the person's speech is not background noise includes comparing auditory information received by a microphone of the mobile computing device to a speech energy threshold for the person.

8. The method of claim 1 , wherein determining that the identified person has stopped speaking into the mobile computing device is based further on an input provided by a pose identifier, an input provided by a speech detector, and an input provided by a speaker identifier.

9. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising:

identifying, by a mobile computing device, an identity of a person that is speaking into the mobile computing device;

selecting stored biometric information associated with the identified person;

determining, by the mobile computing device, that the identified person has stopped speaking into the mobile computing device based at least on the selected biometric information associated with the identified person; and

generating a transcription of the person's speech into the mobile device in response to determining that, based at least on the selected biometric information associated with the identified person, the identified person has stopped speaking into the mobile computing device.

10. The computer storage medium of claim 9 , wherein identifying the identity of the person that is speaking into the mobile computing device comprises comparing auditory information received by a microphone of the mobile computing device to stored auditory profile information for the person that is speaking into the mobile computing device.

11. The computer storage medium of claim 10 , wherein identifying the identity of the person that is speaking into the mobile computing device further comprises comparing the auditory information received by the microphone of the mobile computing device to stored auditory profile information for one or more persons other than the person speaking that is into the mobile computing device.

12. The computer storage medium of claim 9 , wherein identifying the identity of the person that is speaking into the mobile computing device comprises using additional biometric information obtained by a camera of the mobile computing device to identify the identity of the person that is speaking into the mobile computing device.

13. The computer storage medium of claim 9 , wherein determining that the identified person has stopped speaking into the mobile computing device is based further on information that is specific to the identified person.

14. The computer storage medium of claim 9 , wherein identifying an identity of a person that is speaking into the mobile computing device determining that the person's speech is not background noise.

15. The computer storage medium of claim 14 , wherein determining that the person's speech is not background noise includes comparing auditory information received by a microphone of the mobile computing device to a speech energy threshold for the person.

16. The computer storage medium of claim 9 , wherein determining that the identified person has stopped speaking into the mobile computing device is based further on an input provided by a pose identifier, an input provided by a speech detector, and an input provided by a speaker identifier.

17. The method of claim 1 , wherein the stored biometric information includes face appearance, ear shape, or hand print.

18. 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:

identifying, by a mobile computing device, an identity of a person that is speaking into the mobile computing device;

selecting stored biometric information associated with the identified person;

determining, by the mobile computing device, that the identified person has stopped speaking into the mobile computing device based at least on the selected biometric information associated with the identified person; and

generating a transcription of the person's speech into the mobile device in response to determining that, based at least on the selected biometric information associated with the identified person, the identified person has stopped speaking into the mobile computing device.

19. The system of claim 17 , wherein identifying the identity of the person that is speaking into the mobile computing device comprises comparing auditory information received by a microphone of the mobile computing device to stored auditory profile information for the person that is speaking into the mobile computing device.

20. The system of claim 17 , wherein determining that the identified person has stopped speaking into the mobile computing device is based further on an input provided by a pose identifier, an input provided by a speech detector, and an input provided by a speaker identifier.

Assignments (2)
CHANGE OF NAME Recorded Oct 2, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044097/0658 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 30, 2015
From: BURKE, DAVE; LEBEAU, MICHAEL J.; GIANNO, KONRAD; KRISTJANSSON, TRAUSTI T.; JITKOFF, JOHN NICHOLAS; SENIOR, ANDREW W.
To: GOOGLE INC.
Reel/Frame 036218/0382 →
Continuity (4)
Continuation 14645802 · Mar 12, 2015
Continuation 12615583 · Nov 10, 2009
Provisional Application 61113061 · Nov 10, 2008
Related Publication 20150302870A1 · Oct 22, 2015