IP Library Granted Patent US 9,881,608
Granted Patent B2
US 9,881,608 · App. 15/608,110 · Granted Jan 30, 2018

Word-level correction of speech input

Inventors: Michael J. LeBeau (New York, NY); William J. Byrne (Davis, CA); John Nicholas Jitkoff (Palo Alto, CA); Brandon M. Ballinger (San Francisco, CA); Trausti T. Kristjansson (Mountain View, CA)
Assignee: Google LLC
G10L15/22G06F3/0482G06F3/04842G06F3/04886G06F17/2241G06F17/24G06F17/273G06F17/277G10L15/01G10L15/26G10L15/265G10L15/30
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Quick Facts
Patent No.
US 9,881,608
App. No.
15/608,110
Granted
Jan 30, 2018
Kind
B2
Abstract

The subject matter of this specification can be implemented in, among other things, a computer-implemented method for correcting words in transcribed text including receiving speech audio data from a microphone. The method further includes sending the speech audio data to a transcription system. The method further includes receiving a word lattice transcribed from the speech audio data by the transcription system. The method further includes presenting one or more transcribed words from the word lattice. The method further includes receiving a user selection of at least one of the presented transcribed words. The method further includes presenting one or more alternate words from the word lattice for the selected transcribed word. The method further includes receiving a user selection of at least one of the alternate words. The method further includes replacing the selected transcribed word in the presented transcribed words with the selected alternate word.

Claims (36)

1. A computer-implemented method comprising:

receiving, by a client device, audio data corresponding to a user utterance;

providing, by the client device, the audio data to a server-based, automated speech recognizer;

receiving, by the client device, multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer;

providing, for output by the client device, a user interface that includes a representation of a first transcription of the user utterance that is selected from among the multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer;

receiving, by the client device, data indicating a selection, through the user interface, of at least a portion of the representation of the first transcription of the user utterance, wherein the selection identifies the at least the portion of the representation of the first transcription of the user utterance as including at least one incorrect word; and

in response to receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance, replacing, by the client device and without (i) presenting an option to select one or more alternate words for the at least one incorrect word or (ii) initiating additional communication with the server-based automated speech recognizer, the representation of the first transcription of the user utterance in the user interface with a representation of a second transcription of the user utterance that (i) is selected from among the multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer, and (ii) includes one or more alternate words substituted for the at least one incorrect word.

2. The computer-implemented method of claim 1 , wherein each of the multiple candidate transcriptions of the user utterance is associated with a speech recognition lattice that is generated by the server-based, automated speech recognizer based on the audio data.

3. The computer-implemented method of claim 2 , wherein the second transcription of the user utterance is an only alternate transcription of the user utterance associated with the speech recognition lattice that includes one or more alternate words substituted for the at least one incorrect word.

4. The computer-implemented method of claim 2 , wherein the second transcription of the user utterance is an alternate transcription of the user utterance associated with the speech recognition lattice that has a highest calculated probability of being a correct transcription of the user utterance.

5. The computer-implemented method of claim 4 , wherein the calculated probability of the second transcription of the user utterance is greater than a calculated probability of another transcription of the user utterance associated with the speech recognition lattice that has a second-highest calculated probability of being a correct transcription of the user utterance by at least a predetermined amount.

6. The computer-implemented method of claim 1 , wherein receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance comprises receiving data indicating a long press input, through the user interface, selecting the at least the portion of the representation of the first transcription of the user utterance, wherein the long press input indicates a request to replace the at least the portion of the representation of the first transcription of the user utterance with one or more alternate words substituted for the at least one incorrect word.

7. The computer-implemented method of claim 1 , wherein receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance comprises receiving data indicating a selection, through the user interface, of an alternate phrase control, wherein the selection of the alternate phrase control identifies the entirety of the representation of the first transcription of the user utterance.

8. A computer program product, encoded in a non-transitory computer-readable medium, operable to cause one or more processors to perform operations for correcting words in transcribed text, the operations comprising:

receiving, by a client device, audio data corresponding to a user utterance;

providing, by the client device, the audio data to a server-based, automated speech recognizer;

receiving, by the client device, multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer;

providing, for output by the client device, a user interface that includes a representation of a first transcription of the user utterance that is selected from among the multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer;

receiving, by the client device, data indicating a selection, through the user interface, of at least a portion of the representation of the first transcription of the user utterance, wherein the selection identifies the at least the portion of the representation of the first transcription of the user utterance as including at least one incorrect word; and

in response to receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance, replacing, by the client device and without (i) presenting an option to select one or more alternate words for the at least one incorrect word or (ii) initiating additional communication with the server-based automated speech recognizer, the representation of the first transcription of the user utterance in the user interface with a representation of a second transcription of the user utterance that (i) is selected from among the multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer, and (ii) includes one or more alternate words substituted for the at least one incorrect word.

9. The computer program product of claim 8 , wherein each of the multiple candidate transcriptions of the user utterance is associated with a speech recognition lattice that is generated by the server-based, automated speech recognizer based on the audio data.

10. The computer program product of claim 9 , wherein the second transcription of the user utterance is an only alternate transcription of the user utterance associated with the speech recognition lattice that includes one or more alternate words substituted for the at least one incorrect word.

11. The computer program product of claim 9 , wherein the second transcription of the user utterance is an alternate transcription of the user utterance associated with the speech recognition lattice that has a highest calculated probability of being a correct transcription of the user utterance.

12. The computer program product of claim 8 , wherein receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance comprises receiving data indicating a long press input, through the user interface, selecting the at least the portion of the representation of the first transcription of the user utterance, wherein the long press input indicates a request to replace the at least the portion of the representation of the first transcription of the user utterance with one or more alternate words substituted for the at least one incorrect word.

13. The computer program product of claim 8 , wherein receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance comprises receiving data indicating a selection, through the user interface, of an alternate phrase control, wherein the selection of the alternate phrase control identifies the entirety of the representation of the first transcription of the user utterance.

14. 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: receiving, by a client device, audio data corresponding to a user utterance;

providing, by the client device, the audio data to a server-based, automated speech recognizer;

receiving, by the client device, multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer;

providing, for output by the client device, a user interface that includes a representation of a first transcription of the user utterance that is selected from among the multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer;

receiving, by the client device, data indicating a selection, through the user interface, of at least a portion of the representation of the first transcription of the user utterance, wherein the selection identifies the at least the portion of the representation of the first transcription of the user utterance as including at least one incorrect word; and

in response to receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance, replacing, by the client device and without (i) presenting an option to select one or more alternate words for the at least one incorrect word or (ii) initiating additional communication with the server-based automated speech recognizer, the representation of the first transcription of the user utterance in the user interface with a representation of a second transcription of the user utterance that (i) is selected from among the multiple candidate transcriptions of the user utterance that are generated by the server-based, automated speech recognizer, and (ii) includes one or more alternate words substituted for the at least one incorrect word.

15. The system of claim 14 , wherein each of the multiple candidate transcriptions of the user utterance is associated with a speech recognition lattice that is generated by the server-based, automated speech recognizer based on the audio data.

16. The system of claim 15 , wherein the second transcription of the user utterance is an only alternate transcription of the user utterance associated with the speech recognition lattice that includes one or more alternate words substituted for the at least one incorrect word.

17. The system of claim 15 , wherein the second transcription of the user utterance is an alternate transcription of the user utterance associated with the speech recognition lattice that has a highest calculated probability of being a correct transcription of the user utterance.

18. The system of claim 17 , wherein the calculated probability of the second transcription of the user utterance is greater than a calculated probability of another transcription of the user utterance associated with the speech recognition lattice that has a second-highest calculated probability of being a correct transcription of the user utterance by at least a predetermined amount.

19. The system of claim 14 , wherein receiving the data indicating the selection, through the user interface, of the at least the portion of the representation of the first transcription of the user utterance comprises receiving data indicating a long press input, through the user interface, selecting the at least the portion of the representation of the first transcription of the user utterance, wherein the long press input indicates a request to replace the at least the portion of the representation of the first transcription of the user utterance with one or more alternate words substituted for the at least one incorrect word.

Assignments (2)
CHANGE OF NAME Recorded Oct 5, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044129/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 30, 2017
From: LEBEAU, MICHAEL J.; BYRNE, WILLIAM J.; JITKOFF, JOHN NICHOLAS; BALLINGER, BRANDON M.; KRISTJANSSON, TRAUSTI T.
To: GOOGLE INC.
Reel/Frame 042531/0076 →
Continuity (8)
Continuation 15350309 · Nov 14, 2016
Continuation 15045571 · Feb 17, 2016
Continuation 14988201 · Jan 5, 2016
Continuation 14747306 · Jun 23, 2015
Continuation 13947284 · Jul 22, 2013
Continuation 12913407 · Oct 27, 2010
Provisional Application 61292440 · Jan 5, 2010
Related Publication 20170270926A1 · Sep 21, 2017