Speech Recognition Based on Context and Multiple Recognition Engines

• US 20180211669A1
• Filed: 01/26/2017
• Published: 07/26/2018
• Est. Priority Date: 01/26/2017
• Status: Active Grant

• Current Assignee: Essence, Inc.
• Original Assignee: Essence, Inc.
• Inventors: Corcoran, Holly R., Klein, Barry, Morake, Llewellyn Q.
• Granted Patent: US 10,360,914 B2
• Time in Patent Office: Days
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 15/32 Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems
• CPC Class Codes: G10L 2015/228 of application context

Abstract

Using many speech recognition engines, one can select which one is best at any given iteration of sending a command to a device to be interpreted and carried out. Depending on the context, a different result of many results received from speech recognition engines is chosen. The context is determined based on window history, including rendered webpages represented by URLs previously displayed on the device or windows resulting from executed code on the computing device. In this manner, the operation of the computer is improved as a more accurate result of receiving audio and processing it to text many times is used.

Claims

1. A method of speech recognition, comprising steps of:

receiving audio input to a device;

sending said audio input via a network node to a plurality of speech recognition engines;

receiving back via said network node a plurality of text versions of said audio input, wherein each of said plurality of speech recognition engines provided one of said plurality of text versions of said audio input;

determining characteristics of at least some data exhibited on a display of said device at a time of said audio input;

selecting a text version of said plurality of text versions which most closely corresponds with options available for operation of said device, based on said characteristics determined for said at least some data exhibited on said display;

operating said device based on said selected text version.

2. The method of speech recognition of claim 1, further comprising a step of:

determining characteristics of at least some data exhibited on said display of said device before said time of said audio input; and

wherein said selecting a text version is on both said at least some data exhibited on said display at said time of said audio input and before said time of said audio input.

3. The method of speech recognition of claim 2, wherein said characteristic is at least one of a title of a foreground window, one element within a window, or a uniform resource locator for a website displayed in a foreground window.

4. The method of speech recognition of claim 2, wherein said before said time of said audio input includes a recorded and ordered list of window names opened on said display.

5. The method of speech recognition of claim 4, wherein said text version, which most closely corresponds with operations available for operation of said device, is based on actions previously taken after said ordered list of window names was opened as well as said output of said plurality of speech recognition engines.

6. The method of speech recognition of claim 5, wherein said actions were carried out on said device and said ordered list of window names was produced based on actions of said device.

7. The method of speech recognition of claim 5, wherein said ordered list of window names and resulting said operating of said device is based in part on said plurality of text versions received, and in part on crowd-sourced operations of other devices after said ordered list of window names was produced based on actions carried out by other users of said other devices.

8. The method of speech recognition of claim 7, wherein said device receives said crowd-sourced operations of other devices and carries out an operation of said device based on prior operations of said device, based on said ordered list of window names produced based on prior actions of said device, when such an operation conflicts with said crowd-sourced operations.

9. The method of speech recognition of claim 1, wherein a statistical probability of a next said operating of said device is based on:

a) said characteristics of said at least some data exhibited on said display at a time of said audio input, said characteristics comprised at least of a window name or uniform resource locator; and

b) prior window names and uniform resource locators displayed on said device;

and said text version selected in said step of selecting is one which matches one of a top five statistically most probable operation represented by said audio input.

10. The method of speech recognition of claim 9, wherein said step of selecting is selection of a operation which matches a single most probable operation when output of at least one said speech recognition engine matches is said single most probably operation.

19. The device of claim 1, wherein a statistical probability of a next said operating of said device is based on:

a) said characteristics of said at least some data exhibited on said display at a time of said audio input, said characteristics comprising at least of a window name or uniform resource locator; and

b) prior window names and uniform resource locators displayed on said device;

and said text version selected in said step of selecting is one which matches one of a top five statistically most probable operation represented by said audio input.

20. The device of claim 9, wherein said step of selecting is selection of a operation which matches a single most probable operation when output of at least one said speech recognition engine matches is said single most probably operation.

11. A device carrying out an operation based on speech recognition, comprising:

an audio input device;

a network interface comprising;

a network transmitter over which a version of audio received by said audio input device is sent to a plurality of speech recognition engines;

a network received receiving back via said network node a plurality of text versions of said audio input, wherein each of said plurality of speech recognition engines provided one of said plurality of text versions of said audio;

a display exhibiting output of code executed on said device, said output comprising distinct characteristics with options displayed for interacting with the device;

a processor selecting a text version of said plurality of text versions which most closely corresponds with options available for operation of said device, based on said options displayed on said device;

operating said device based on said selected text version.

12. The device of claim 11, wherein said characteristics are of at least some data exhibited on said display of said device before said time of said audio being received;

and

wherein said selecting a text version is on both said at least some data exhibited on said display at said time of said audio being inputted and before said time of said audio input.

13. The device of claim 12, wherein a characteristic of said characteristics used to determine said options available for operation of said device is at least one of a title of a foreground window or a uniform resource locator for a website displayed in a foreground window.

14. The device of claim 12, wherein said before said time of said audio input includes a recorded and ordered list of window names opened on said display and stored on said device.

15. The device of claim 14, wherein said text version which most closely corresponds with operations available for operation of said device is based on actions previously taken after said ordered list of window names was opened as well as said output of said plurality of speech recognition engines.

16. The device of claim 15, wherein said actions were carried out on said device and said ordered list of window names was produced based on actions of said device.

17. The device of claim 15, wherein said ordered list of window names and resulting said operating of said device is based in part on said plurality of text versions received and in part on crowd-sourced operations of other devices after said ordered list of window names was produced based on actions carried out by other users of said other devices.

18. The device of claim 17, wherein said device receives said crowd-sourced operations of other devices and carries out an operation of said device based on prior operations of said device based on said ordered list of window names produced based on prior actions of said device when such an operation conflicts with said crowd-sourced operations.