Adapting voice input processing based on voice input characteristics

• US 10,811,005 B2
• Filed: 06/19/2015
• Issued: 10/20/2020
• Est. Priority Date: 06/19/2015
• Status: Active Grant

• Current Assignee: Lenovo PC International Limited (Lenovo Group Ltd.)
• Original Assignee: Lenovo Singapore Pte Limited (Lenovo Group Ltd.)
• Inventors: Waltermann, Rod D., Burgmeier, Hermann Franz, Raux, Antoine Roland
• Primary Examiner(s): Pham, Thierry L
• Application Number:
  US14/745,002
• Publication Number:
  US 20160372110A1
• Time in Patent Office: 1,950 Days
• Field of Search: 704200, 704207, 704231, 704275
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/225 Feedback of the input speech
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology
• CPC Class Codes: G10L 25/63 for estimating an emotional state

Abstract

One embodiment provides a method, including: receiving, at an audio receiver, user voice data; identifying, using a processor, at least one characteristic of the voice data; obtaining, using the processor, a speech recognition processing result of the voice data; and changing a standard response to the user voice data to an adapted response based on the at least one characteristic and the speech recognition processing result. Other aspects are described and claimed.

Claims

1. A method, comprising:

receiving, at an audio receiver, user voice data from a user;

identifying, using a processor, at least one characteristic of the voice data;

determining, based upon the identified at least one characteristic, an emotional state of the user;

obtaining, using the processor, a speech recognition processing result of the voice data, wherein the speech recognition processing result is based upon the emotional state of the user; and

changing a standard response by an application to the user voice data to an adapted response based on the emotional state of the user and the speech recognition processing result, wherein the changing to an adapted response comprises modifying a functionality associated with the standard response based upon the emotional state of the user.

2. The method of claim 1, wherein the at least one characteristic comprises pitch of the voice data.

3. The method of claim 1, wherein the at least one characteristic comprises speed of the voice data.

4. The method of claim 1, wherein the at least one characteristic comprises volume of the voice data.

5. The method of claim 1, wherein the obtaining comprises selecting a different grammar to process the voice data.

6. The method of claim 5, wherein the different grammar is retrieved from a remote device.

7. The method of claim 1, wherein the adapted response comprises one or more of:

a response to a search query, a dictation of text derived from the voice data into a file, a schedule manipulation, and a data modification.

8. The method of claim 1, further comprising:

determining if the at least one characteristic exceeds a predetermined threshold;

wherein the changing is based on the at least one characteristic exceeding the predetermined threshold.

9. The information handling device of claim 1, wherein the adapted response comprises one or more of:

a search query, a dictation record, schedule manipulation, and data modification.

10. An information handling device, comprising:

a processor;

an audio receiver;

a memory device that stores instructions executable by the processor to;

receive, from a user, user voice data;

identify at least one characteristic of the voice data;

determine, based upon the identified at least one characteristic, an emotional state of the user;

obtain a speech recognition processing result of the voice data, wherein the speech recognition processing result is based upon the emotional state of the user; and

changing a standard response by an application to the user voice data to an adapted response based on the emotional state of the user and the speech recognition processing result, wherein the changing to an adapted response comprises modifying a functionality associated with the standard response based upon the emotional state of the user.

11. The information handling device of claim 10, wherein the at least one characteristic comprises pitch of the voice data.

12. The information handling device of claim 10, wherein the at least one characteristic comprises speed of the voice data.

13. The information handling device of claim 10, wherein the at least one characteristic comprises volume of the voice data.

16. The information handling device of claim 10, further comprising:

determining if the at least one characteristic exceeds a predetermined threshold;

wherein changing is based on the at least one characteristic exceeding the predetermined threshold.

14. The information handling device of information handling device 10, wherein the obtaining comprises selecting a different grammar to process the voice data.

15. The information handling device of information handling device 14, wherein the different grammar is retrieved from a remote device.

17. A product, comprising:

a storage device having code stored therewith, the code being executable by a processor and comprising;

code that receives, at an audio receiver, user voice data from a user;

code that identifies at least one characteristic of the voice data;

code that determines, based upon the identified at least one characteristic, an emotional state of the user;

code that obtains a speech recognition processing result of the voice data, wherein the speech recognition processing result is based upon the emotional state of the user; and

code that changes a standard response by an application to the user voice data to an adapted response based on the emotional state of the user and the speech recognition processing result, wherein the code that changes to an adapted response comprises code that modifies a functionality associated with the standard response based upon the emotional state of the user.