METHOD AND APPARATUS FOR CONTEXT-AUGMENTED SPEECH RECOGNITION

• US 20170133015A1
• Filed: 11/11/2015
• Published: 05/11/2017
• Est. Priority Date: 11/11/2015
• Status: Abandoned Application

• Current Assignee: Bernard P. Tomsa, Michael C. Vartanian
• Original Assignee: Bernard P. Tomsa, Michael C. Vartanian
• Inventors: TOMSA, Bernard P., VARTANIAN, Michael C.
• Application Number:
  US14/938,338
• Publication Number:
  US 20170133015A1
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A system includes a processor configured to receive speech-input. The processor is further configured to receive at least one location-identification. Also, the processor is configured to determine a location-related context based on the location-identification. The processor is additionally configured to access a context-related vocabulary based on the location-related context. The processor is also configured to search for word matches from the speech-input in the context-related vocabulary and provide match candidates found within the context-related vocabulary as translation of some or all of the speech-input into text.

Claims

1. A system comprising:

a processor configured to;

receive speech-input;

receive at least one location-identification;

determine a location-related context based on the location-identification;

access a context-related vocabulary based on the location-related context;

search for word matches from the speech-input in the context-related vocabulary; and

provide match candidates found within the context-related vocabulary as translation of some or all of the speech-input into text.

2. The system of claim 1, wherein the location-identification is received from a device broadcasting a static location identifier.

3. The system of claim 2, wherein the static location identifier is wirelessly relayed through a mobile device, at which the speech-input was input, to the processor, and wherein the processor is configured to use the static location identifier to determine the location of the mobile device.

4. The system of claim 1, wherein the location-identification is based on a broadcast coordinate system.

5. The system of claim 1, wherein the context includes a site characteristic proximate to a location identified by the location-identification.

6. The system of claim 5, wherein the site characteristic includes a physical building characteristic.

7. The system of claim 6, wherein the physical building characteristic includes a building resource.

8. The system of claim 6, wherein the physical building characteristic includes a room type.

9. The system of claim 6, wherein the physical building characteristic includes building personnel offices.

10. The system of claim 6, wherein the physical building characteristic includes a building purpose.

11. The system of claim 1, wherein the context includes a temporary site characteristic proximate to a location identified by the location-identification.

12. The system of claim 11, wherein the temporary site characteristic includes a mobile location including a mobile location-identification providing device.

13. The system of claim 11, wherein the temporary site characteristic includes characteristics associated with the location for a scheduled period of time.

14. The system of claim 5, wherein the site characteristic includes a point of interest characteristic related to a point of interest proximate to a location identified by the location-identification.

15. A system comprising:

a processor configured to;

receive a request from a mobile device to translate speech-input into text;

receive a location-identifier from the mobile device;

determine one or more location-related contexts associated with the location-identifier, each context having a vocabulary of context-related words associated therewith;

translate the speech-input into text;

update usage of words in the speech-input with respect to the vocabularies of the determined location-related contexts; and

if a word usage passes a predetermined threshold, based on aggregated updates to an associated usage tracking factor, based on requests from users inputting speech to be translated into text at a location associated with the location-identifier, adding the word to at least one of the vocabularies in which the word does not currently exist.

16. The system of claim 15, wherein the word is added to all vocabularies of the determined location-related contexts in which the word does not exist.

17. The system of claim 15, wherein the processor is configured to periodically update the usage of words in a decaying manner, such that words that have not been used within a threshold period of time have the associated usage tracking factor moved further from the predetermined threshold.

18. The system of claim 15, wherein the processor is configured to determine an optimal vocabulary with respect to which the usage of a word not appearing in any of the vocabularies is to be updated, based on which vocabulary solely contains the greatest number of unique words in the speech-input, and to only update the usage of the word with respect to the determine optimal vocabulary.

20. The system of claim 18, wherein the processor is further configured to:

update a usage factor associated with a word in the determined contents of the speech input, not present in the utilized vocabularies, such that the usage factor tracks the frequency of speech-input translation requests both including the word and associated with the resource; and

add the word to the utilized vocabularies if the usage factor exceeds a predetermined threshold.

19. A system comprising:

a processor configured to;

receive assignment of a plurality of context-identifiers associated with resources located proximate to a site, the assignment associating one or more context-identifiers with each resource, the resources and site being identifiable based on location-identifying information received in conjunction with a request to translate speech-input into text, wherein each context-identifier is associated with a vocabulary, including words related to the context;

receive a request to translate speech-input into text, including the location-identifying information;

determine one or more context-identifiers associated with a resource identifiable based on the location-identifying information;

utilize the vocabularies associated with the one or more context-identifiers to determine the contents of the speech-input; and

return the determined contents to an entity from which the request came as translated text based on the determined contents of the speech-input.