SYSTEM AND METHOD FOR CUSTOMIZED VOICE RESPONSE

• US 20160240191A1
• Filed: 04/21/2016
• Published: 08/18/2016
• Est. Priority Date: 06/18/2010
• Status: Active Grant

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group), Kia Corp.
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Duffield, Nicholas
• Granted Patent: US 10,192,547 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G10L 15/00 Speech recognition G10L17/00 takes precedence
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
• 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 17/14 Use of phonemic categorisation or speech recognition prior to speaker recognition or verification
• CPC Class Codes: H04M 2203/2061 Language aspects
• CPC Class Codes: H04M 2203/255 comprising a personalized user interface
• CPC Class Codes: H04M 2250/58 including a multilanguage function
• CPC Class Codes: H04M 3/4936 Speech interaction details speech recognition per se G10L15/00

Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating an accent source. A system practicing the method collects data associated with customer specific services, generates country-specific or dialect-specific weights for each service in the customer specific services list, generates a summary weight based on an aggregation of the country-specific or dialect-specific weights, and sets an interactive voice response system language model based on the summary weight and the country-specific or dialect-specific weights. The interactive voice response system can also change the user interface based on the interactive voice response system language model. The interactive voice response system can tune a voice recognition algorithm based on the summary weight and the country-specific weights. The interactive voice response system can adjust phoneme matching in the language model based on a possibility that the speaker is using other languages.

Claims

1. A method comprising:

analyzing, by a system comprising a processor, interaction information associated with a user and network services to generate country-specific weights associated with the network services;

aggregating, by the system, the country-specific weights to generate summary weights;

selecting, by the system, an interactive voice response system language model based on the summary weights; and

recognizing, by the system, speech received from a device associated with the user by applying the interactive voice response system language model to an interactive voice response system.

2. The method of claim 1, wherein the processor comprises a plurality of processors operating in a distributed processing environment, and further comprising collecting the interaction information according to a customer-specific list of the network services associated with the user.

3. The method of claim 1, wherein the interactive voice response system changes a user interface based on the interactive voice response language model.

4. The method of claim 1, wherein the interactive voice response system selects language options for a splash screen based on the country-specific weights.

5. The method of claim 1, wherein the interactive voice response system tunes a voice recognition algorithm based on the country-specific weights.

6. The method of claim 1, wherein the interactive voice response system adjusts phoneme matching in the interactive voice response system language model based on a possibility that the user is using other languages based on the country-specific weights.

7. The method of claim 1, wherein the interactive voice response system monitors a number of times the user repeats speech input.

8. The method of claim 1, wherein the interaction information includes a phone record, an internet services record, a television service record, a mobile device record, location information, or any combination thereof.

9. The method of claim 8, wherein the internet service record includes a user requested top level domain, a web page language encoding, a browsing history, a viewed web page content, or any combination thereof.

10. The method of claim 8, wherein the television service record includes a viewing history, a time of channel changes, a content of viewed channels, a digital video recorder recording history, scheduled shows for recording, a viewing location, or any combination thereof.

11. A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

analyzing interaction information associated with a user and a network service to generate country-specific weights associated with the network service;

selecting an interactive voice response system language model based on the country-specific weights; and

recognizing speech received from a device associated with the user by applying the interactive voice response system language model to an interactive voice response system.

12. The machine-readable storage medium of claim 11, wherein the processor comprises a plurality of processors operating in a distributed processing environment, and wherein the operations further comprise determining the network service according to a customer-specific list of network services that are associated with the user.

13. The machine-readable storage medium of claim 11, wherein the interactive voice response system adjusts a user interface based on the interactive voice response language model.

14. The machine-readable storage medium of claim 11, wherein the interactive voice response system selects language options for a splash screen based on the country-specific weights.

15. The machine-readable storage medium of claim 11, wherein the interactive voice response system tunes a voice recognition algorithm based on the country-specific weights.

16. The machine-readable storage medium of claim 11, wherein the interactive voice response system adjusts phoneme matching in the interactive voice response system language model based on a possibility that the user is using other languages based on the country-specific weights.

17. The machine-readable storage medium of claim 11, wherein the interactive voice response system monitors a number of times the user repeats speech input.

18. The machine-readable storage medium of claim 11, wherein the interaction information includes a phone record, an internet services record, a television service record, a mobile device record, location information, or any combination thereof.

19. A device, comprising:

a processor; and

a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising;

analyzing interaction information associated with a user and a network service to generate country-specific weights associated with the network service; and

recognizing, via an interactive voice response system according to the country-specific weights, speech received from a device associated with the user.

20. The device of claim 19, wherein the processor comprises a plurality of processors operating in a distributed processing environment, wherein the operations further comprise selecting an interactive voice response system language model according to the country-specific weights.