Systems and methods for enhancing responsiveness to utterances having detectable emotion

• US 10,621,983 B2
• Filed: 04/20/2018
• Issued: 04/14/2020
• Est. Priority Date: 04/20/2018
• Status: Active Grant

• Current Assignee: Spotify AB (Spotify Technology SA)
• Original Assignee: Spotify AB (Spotify Technology SA)
• Inventors: Bromand, Daniel, Gustafsson, David, Mitic, Richard, Mennicken, Sarah
• Primary Examiner(s): Le, Thuykhanh
• Application Number:
  US15/958,510
• Publication Number:
  US 20190325867A1
• Time in Patent Office: 725 Days
• Field of Search: None
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G06F 40/109 Font handling; Temporal or kinetic typography
• CPC Class Codes: G10L 13/02 Methods for producing synthetic speech; Speech synthesisers
• CPC Class Codes: G10L 13/0335 Pitch control
• CPC Class Codes: G10L 13/10 Prosody rules derived from text; Stress or intonation
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• 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 2015/223 Execution procedure of a spoken command
• CPC Class Codes: G10L 25/63 for estimating an emotional state

Abstract

Methods, systems, and related products that provide emotion-sensitive responses to user'"'"'s commands and other utterances received at an utterance-based user interface. Acknowledgements of user'"'"'s utterances are adapted to the user and/or the user device, and emotions detected in the user'"'"'s utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user'"'"'s changing emotion during a sequence of interactions is used to generate a response to a user'"'"'s uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Claims

1. A method, comprising:

receiving, via a user device, a natural utterance, the natural utterance including at least one non-textual emotion feature and a command;

determining that the command is non-extractable from a textual representation of the natural utterance;

in response to the determining that the command is non-extractable from the textual representation of the natural utterance, extracting the at least one non-textual emotion feature from the natural utterance;

mapping each of the at least one non-textual emotion feature to an emotion;

inferring, based on the emotion, the command of the natural utterance; and

responding, subsequent to the inferring, to the natural utterance at least by one or both of;

     1) performing an action corresponding to the command; and

     2) providing a verbalized acknowledgement of the natural utterance adapted to the emotion.

2. The method of claim 1, wherein the responding includes both the performing an action corresponding to the command and the providing a verbalized acknowledgement of the natural utterance adapted to the emotion.

3. The method of claim 2, wherein a type of the verbalized acknowledgement is based on a type of the user device.

4. The method of claim 3,

wherein the user device comprises an automobile, and

wherein the type of the verbalized acknowledgement is a synthesized utterance.

5. The method of claim 1, wherein the verbalized acknowledgement includes an indication of the action corresponding to the command.

6. The method of claim 1, wherein the verbalized acknowledgement includes an indication that the command was not extractable from the textual representation of the natural utterance.

7. The method of claim 1, wherein the verbalized acknowledgement comprises a synthesized utterance.

8. The method of claim 7, wherein the synthesized utterance is adapted to the emotion with at least one audible stylization, the at least one audible stylization being one or more of a cadence, a volume, a pitch, a word, a string of words, a pace, and a tone.

9. The method of claim 1, wherein the verbalized acknowledgement comprises a displayed text.

10. The method of claim 9, wherein the displayed text is adapted to the emotion with at least one visual stylization, the at least one visual stylization being one or more of a font type, a font size, a font color, capital letters, a number of words, and a punctuation mark.

11. The method of claim 1, wherein the at least one non-textual emotion feature is one or more of a cadence, a volume, a pitch, a pace, and a tone of the natural utterance.

12. The method of claim 1, wherein the inferring is partially based on an identity of a user.

13. The method of claim 1, further comprising:

extracting at least two emotion features from the natural utterance; and

detecting a conflict between the at least two extracted emotion features.

14. The method of claim 13, further comprising:

reconciling the conflict and, based on the reconciling, performing the inferring.

15. A non-transitory computer readable medium, comprising:

an emotion processor having one or more sequences of emotion processor instructions that, when executed by one or more processors, causes the one or more processors to generate an output adapted to an emotion detected in a natural utterance;

and one or more sequences of instructions which, when executed by one or more processors, cause the one or processors to;

receive, via a user device, the natural utterance, the natural utterance including at least one non-textual emotion feature and a command;

determine that the command is non-extractable from a textual representation of the natural utterance;

in response to the determine that the command is non-extractable from the textual representation of the natural utterance, extract the at least one non-textual emotion feature from the natural utterance;

map each of the at least one non-textual emotion feature to an emotion;

infer, based on the emotion, the command of the natural utterance; and

respond, subsequent to the infer, to the natural utterance at least by one or both of;

     1) performing an action corresponding to the command; and

     2) providing a verbalized acknowledgement of the natural utterance adapted to the emotion.

16. A system, comprising:

a non-transitory memory storing instructions; and

at least one processor which, when executing the instructions, operates to;

receive, via a user device, a natural utterance, the natural utterance including at least one non-textual emotion feature and a command;

determine that the command is non-extractable from a textual representation of the natural utterance;

in response to the determine that the command is non-extractable from the textual representation of the natural utterance, extract the at least one non-textual emotion feature from the natural utterance;

map each of the at least one non-textual emotion feature to an emotion;

infer, based on the emotion, the command of the natural utterance; and

respond, subsequent to the infer, to the natural utterance at least by further operating to one or both of;

     1) perform an action corresponding to the command; and

     2) provide a verbalized acknowledgement of the natural utterance adapted to the emotion.

17. The system of claim 16, wherein the respond includes both the perform an action corresponding to the command and the provide a verbalized acknowledgement of the natural utterance adapted to the emotion.

18. The system of claim 17, wherein a type of the verbalized acknowledgement is based on a type of the user device.

19. The system of claim 18,

wherein the user device comprises an automobile, and

wherein the type of the verbalized acknowledgement is a synthesized utterance.

20. The system of claim 16, wherein the verbalized acknowledgement includes an indication of the action corresponding to the command.

21. The system of claim 16, wherein the verbalized acknowledgement includes an indication that the command was not extractable from the textual representation of the natural utterance.

22. The system of claim 16, wherein the verbalized acknowledgement comprises a synthesized utterance.

23. The system of claim 22, wherein the synthesized utterance is adapted to the emotion with at least one audible stylization, the at least one audible stylization being one or more of a cadence, a volume, a pitch, a word, a string of words, a pace, and a tone.

24. The system of claim 16, wherein the verbalized acknowledgement comprises a displayed text.

25. The system of claim 24, wherein the displayed text is adapted to the emotion with at least one visual stylization, the at least one visual stylization being one or more of a font type, a font size, a font color, capital letters, a number of words, and a punctuation mark.

26. The system of claim 16, wherein the at least one non-textual emotion feature is one or more of a cadence, a volume, a pitch, a pace, and a tone of the natural utterance.

27. The system of claim 16, wherein the infer is partially based on an identity of a user.

28. The system of claim 16, wherein the at least one processor, when executing the instructions, further operates to:

extract at least two emotion features from the natural utterance; and

detect a conflict between the at least two extracted emotion features.

29. The system of claim 28, wherein the at least one processor, when executing the instructions, further operates to:

reconcile the conflict and, based on the reconcile, perform the infer.