SPEECH RECOGNITION SERVICES

• US 20160379630A1
• Filed: 06/25/2015
• Published: 12/29/2016
• Est. Priority Date: 06/25/2015
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Assayag, Michel, Wasserblat, Moshe, Pereg, Oren, Taite, Shahar, Sivak, Alexander, Rider, Tomer
• Application Number:
  US14/750,757
• Publication Number:
  US 20160379630A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/223 Execution procedure of a spoken command
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology

Abstract

Various systems and methods for providing speech recognition services are described herein. A user device for providing speech recognition services includes a speech module to maintain a speech recognition model of a user of the user device; a user interaction module to detect an initiation of an interaction between the user and a target device; and a transmission module to transmit the speech recognition model to the target device, the target device to use the speech recognition model to enhance a speech recognition process executed by the target device during the interaction between the user and the target device.

Claims

1. A user device for providing speech recognition services, the user device comprising:

a speech module to maintain a speech recognition model of a user of the user device;

a user interaction module to detect an initiation of an interaction between the user and a target device; and

a transmission module to transmit the speech recognition model to the target device, the target device to use the speech recognition model to enhance a speech recognition process executed by the target device during the interaction between the user and the target device.

2. The user device of claim 1, wherein the speech recognition model includes an acoustic model and a language model.

3. The user device of claim 1, wherein to maintain the speech recognition model, the speech module is to:

prompt the user to read a script;

recognize words spoken by the user while reading the script; and

correlate the words spoken by the user with words in the script.

4. The user device of claim 1, wherein to maintain the speech recognition model, the speech module is to:

attempt to recognize words spoken by the user while executing an application on the user device;

incorporate user feedback from the user to make corrections of mistakes when translating the words spoken by the user; and

revise the speech recognition model based on the corrections.

5. The user device of claim 1, wherein to detect the initiation of the interaction, the user interaction module is to:

detect the target device using a wireless network protocol;

identify a user action; and

correlate the user action with the target device to detect the initiation of the interaction.

6. The user device of claim 5, wherein the user action comprises walking toward the target device.

7. The user device of claim 5, wherein the user action comprises authenticating with the target device.

8. The user device of claim 1, wherein to transmit the speech recognition model to the target device, the transmission module is to:

encrypt the speech recognition model to produce an encrypted speech recognition model; and

transmit the encrypted speech recognition model to the target device.

9. The user device of claim 1, wherein to transmit the speech recognition model to the target device, the transmission module is to:

transmit a credential to the target device, the credential for a cloud-based service, wherein the target device uses the credential to access the cloud-based service and obtain the speech recognition model.

10. The user device of claim 1, wherein to transmit the speech recognition model to the target device, the transmission module is to:

identify a second format, the second format compatible with the target device;

convert the speech recognition model from a first format to the second format; and

transmit the speech recognition model in the second format to the target device.

11. The user device of claim 1, wherein the target device is to delete the speech recognition model.

12. The user device of claim 11, wherein the target device is to automatically delete the speech recognition model when the interaction between the user device and the target device has concluded.

13. At least one machine-readable medium including instructions for providing speech recognition services, which when executed by a machine, cause the machine to:

maintain, at a user device, a speech recognition model of a user of the user device;

detect an initiation of an interaction between the user and a target device; and

transmit the speech recognition model to the target device, the target device to use the speech recognition model to enhance a speech recognition process executed by the target device during the interaction between the user and the target device.

14. The at least one machine-readable medium of claim 13, wherein the instructions to maintain the speech recognition model comprise instructions to:

attempting to recognize words spoken by the user while executing an application on the user device;

incorporate user feedback from the user to make corrections of mistakes when translating the words spoken by the user; and

revise the speech recognition model based on the corrections.

15. The at least one machine-readable medium of claim 13, wherein the instructions to detect the initiation of the interaction comprise instructions to:

detect the target device using a wireless network protocol;

identify a user action; and

correlate the user action with the target device to detect the initiation of the interaction.

16. The at least one machine-readable medium of claim 13, wherein the instructions to transmit the speech recognition model to the target device comprise instructions to:

encrypt the speech recognition model to produce an encrypted speech recognition model; and

transmit the encrypted speech recognition model to the target device.

17. The at least one machine-readable medium of claim 13, wherein the instructions to transmit the speech recognition model to the target device comprise instructions to:

transmit a credential to the target device, the credential for a cloud-based service, wherein the target device uses the credential to access the cloud-based service and obtain the speech recognition model.

18. The at least one machine-readable medium of claim 13, wherein the instructions to transmit the speech recognition model to the target device comprise instructions to:

identify a second format, the second format compatible with the target device;

convert the speech recognition model from a first format to the second format; and

transmit the speech recognition model in the second format to the target device.

19. The at least one machine-readable medium of claim 13, wherein the instructions to transmit the speech recognition model to the target device comprise instructions to:

determine a type of the target device;

determine a subset of the speech recognition model corresponding to the type of the target device; and

transmit the subset of the speech recognition model to the target device.

20. The at least one machine-readable medium of claim 13, wherein the instructions to transmit the speech recognition model to the target device comprise instructions to:

determine a context of the interaction with the target device;

determine a subset of the speech recognition model corresponding to the context of the interaction; and

transmit the subset of the speech recognition model to the target device.

21. A method of providing speech recognition services, the method comprising:

maintaining, at a user device, a speech recognition model of a user of the user device;

detecting an initiation of an interaction between the user and a target device; and

transmitting the speech recognition model to the target device, the target device to use the speech recognition model to enhance a speech recognition process executed by the target device during the interaction between the user and the target device.

22. The method of claim 21, wherein detecting the initiation of the interaction comprises:

detecting the target device using a wireless network protocol;

identifying a user action; and

correlating the user action with the target device to detect the initiation of the interaction.

23. The method of claim 21, wherein transmitting the speech recognition model to the target device comprises:

encrypting the speech recognition model to produce an encrypted speech recognition model; and

transmitting the encrypted speech recognition model to the target device.

24. The method of claim 21, wherein transmitting the speech recognition model to the target device comprises:

transmitting a credential to the target device, the credential for a cloud-based service, wherein the target device uses the credential to access the cloud-based service and obtain the speech recognition model.

25. The method of claim 21, wherein transmitting the speech recognition model to the target device comprises:

identifying a second format, the second format compatible with the target device;

converting the speech recognition model from a first format to the second format; and

transmitting the speech recognition model in the second format to the target device.