Methods and systems for speech adaptation data

• US 10,431,235 B2
• Filed: 09/10/2012
• Issued: 10/01/2019
• Est. Priority Date: 05/31/2012
• Status: Active Grant

• Current Assignee: Elwha LLC (Intellectual Ventures LLC)
• Original Assignee: Elwha LLC (Intellectual Ventures LLC)
• Inventors: Levien, Royce A., Lord, Richard T., Lord, Robert W., Malamud, Mark A.
• Primary Examiner(s): Neway, Samuel G
• Application Number:
  US13/609,139
• Publication Number:
  US 20130325450A1
• Time in Patent Office: 2,577 Days
• Field of Search: 704200-504
• CPC Class Codes: G10L 15/065 Adaptation
• CPC Class Codes: G10L 15/07 to the speaker
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 21/00 Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility G10L19/00 takes precedence

Abstract

Computationally implemented methods and systems include detecting speech data related to a speech-facilitated transaction, acquiring adaptation data that is at least partly based on at least one speech interaction of a particular party that is discrete from the detected speech data, wherein at least a portion of the adaptation data has been stored on a particular device associated with the particular party, obtaining a destination of one or more of the adaptation data and the speech data, and transmitting one or more of the speech data and the adaptation data to the acquired destination. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Claims

1. A method for controlling a computer processor to perform operations comprising:

detecting speech data of a particular party at a personal device of the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device;

acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party;

converting the speech data at the personal device into converted data based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data; and

transmitting the adaptation data and the converted data from the personal device to the target device to facilitate speech recognition.

2. The method of claim 1, further comprising:

receiving a signal requesting initiation of one or more operations in preparation for the speech-facilitated interaction.

3. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party, the adaptation data including one or more words and corresponding pronunciations of the one or more words of the particular party.

4. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device and from a network location adaptation data that is at least partly based on at least one previous speech interaction of the particular party.

5. The method of claim 1, further comprising:

detecting one or more of the following particular conditions;

execution of a program, detection of the particular party at a particular location, and detection of the particular party within a particular proximity of the target device.

6. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device and from a further device adaptation data that is at least partly based on at least one previous speech interaction of the particular party.

7. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party, the adaptation data including one or more instructions for modifying a pronunciation dictionary.

8. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party with a particular type of device.

9. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device, adaptation data that is at least partly based on at least one previous speech interaction of the particular party with the personal device, wherein the personal device is a cellular telephone device.

10. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device, adaptation data that is at least partly based on a telephone conversation carried out using the personal device, wherein the personal device is a cellular telephone device.

11. The method of claim 1, wherein said acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device from a remote location adaptation data that is at least partly based on at least one previous speech interaction of the particular party.

12. The method of claim 1, further comprising:

adding further data to the adaptation data.

13. The method of claim 12, wherein said adding further data to the adaptation data comprises:

adding header data identifying an entity.

14. The method of claim 1, further comprising:

obtaining a network address of the target device.

15. The method of claim 1, further comprising:

detecting one or more devices configured to process the speech data.

17. The method of claim 1, further comprising:

receiving data regarding at least one capability of one or more devices configured to process the speech data.

19. The method of claim 1, wherein the detecting speech data of a particular party at a personal device of the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device comprises:

detecting speech data of a particular party including data of one or more words spoken by the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device.

20. The method of claim 1, further comprising:

detecting the target device based at least partly on one or more parameters associated with the target device.

21. The method of claim 1, wherein the acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device adaptation data recorded by the personal device during one or more prior conversations of the particular party.

22. The method of claim 1, wherein the acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device adaptation data selected based at least partly on a type of the target device.

23. The method of claim 1, wherein the detecting speech data of a particular party at a personal device of the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device comprises:

detecting speech data of a particular party at one or more of the following types of personal devices;

smartphone, tablet, personal computer, laptop, keychain, key, personal digital assistant, memory stick, universal remote control, wearable, eyeglasses, wallet, credit card, watch, chain, or article of clothing.

24. The method of claim 1, wherein the detecting speech data of a particular party at a personal device of the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device comprises:

detecting speech data of a particular party being related to a speech-facilitated interaction of the particular party with at least one of the following types of target devices;

computing device, laptop, desktop, computer, server, netbook, tablet, smartphone, receiver, media player, television, automobile, system of automobile, device of automobile, GPS navigation device, ATM, ticket machine, checkout machine, microwave, oven, blender, appliance, theater system, or home device.

25. The method of claim 1, further comprising:

performing speech recognition on the speech data at the personal device to determine at least one operation requested in the speech data.

26. The method of claim 1, further comprising:

receiving a communication transmission from each of a plurality of available target devices that specifies one or more capabilities.

27. The method of claim 26, further comprising:

selecting the target device among the plurality of available target devices based at least partly on a capability of the target device being able to satisfy at least one operation.

28. The method of claim 1, further comprising:

transmitting from the personal device header information identifying the target device.

29. The method of claim 1, wherein the acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party comprises:

acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party, the adaptation data specifying one or more filters to remove one or more non-lexical vocables.

30. The method of claim 29, further comprising:

applying the one or more filters specified by the adaptation data to remove one or more non-lexical vocables.

31. The method of claim 1, wherein the speech data is unrecognizable by the target device prior to conversion of the speech data at the personal device.

32. The method of claim 1, wherein the converting the speech data at the personal device into converted data based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data comprises:

converting the speech data at the personal device into converted data with one or more sounds removed that do not correspond to words, based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data.

33. The method of claim 1, wherein the converting the speech data at the personal device into converted data based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data comprises:

converting the speech data at the personal device into converted data that includes at least some speech labeling, based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data.

34. The method of claim 1, wherein the converting the speech data at the personal device into converted data based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data comprises:

converting the speech data at the personal device into converted data of a sentence diagram data structure, based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data.

16. A system comprising:

circuitry configured for detecting speech data of a particular party at a personal device of the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device;

circuitry configured for acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party;

circuitry configured for converting the speech data at the personal device into converted data based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data; and

circuitry configured for transmitting the adaptation data and the converted data from the personal device to the target device to facilitate speech recognition.

18. A system comprising:

means for detecting speech data of a particular party at a personal device of the particular party, the speech data being related to a speech-facilitated interaction of the particular party with a target device;

means for acquiring at the personal device adaptation data that is at least partly based on at least one previous speech interaction of the particular party;

means for converting the speech data at the personal device into converted data based at least partly on feedback from the target device at least indicating that the target device is able to process the converted data more quickly than the speech data; and

means for transmitting the adaptation data and the converted data from the personal device to the target device to facilitate speech recognition.