Voice Categorisation

• US 20180108358A1
• Filed: 09/29/2017
• Published: 04/19/2018
• Est. Priority Date: 10/19/2016
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Humphreys, Derek, Araujo, Alonso
• Application Number:
  US15/720,423
• Publication Number:
  US 20180108358A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques
• CPC Class Codes: G10L 17/22 Interactive procedures; Man-machine interfaces
• CPC Class Codes: G10L 2015/223 Execution procedure of a spoken command

Abstract

A computer-implemented method of vocally categorising a user includes receiving, by a sound data input, a vocalisation by the user and determining, by a processor coupled to the data input, a plurality of individual confidence scores by comparing the received vocalisation to vocalisations of a plurality of respective individuals stored in a memory to which the processor is communicatively coupled. Each of the individual confidence scores represents a probability that the user is a respective one of the plurality of individuals, and each of the stored vocalisations is stored in association with a corresponding category selected from a plurality of categories. The method further comprises determining, by the processor, from the plurality of individual confidence scores and respective associated categories, a plurality of category confidence scores, where each category confidence score represents a probability that the user belongs to a respective one of the plurality of categories.

Claims

1. A computer-implemented method of vocally categorising a user, said method comprising:

receiving, by a sound data input, a vocalisation by said user;

determining, by a processor communicatively coupled to the sound data input, a plurality of individual confidence scores by comparing said received vocalisation to vocalisations of a plurality of respective individuals stored in a memory to which said processor is communicatively coupled, each individual confidence score representing a probability that the user is a respective one of said plurality of individuals, and each of said stored vocalisations stored in association with a corresponding category selected from a plurality of categories; and

determining, by the processor, from said plurality of individual confidence scores and respective associated categories, a plurality of category confidence scores, each category confidence score representing a probability that the user belongs to a respective one of said plurality of categories.

2. The method of claim 1, further comprising determining, by the processor, a categorisation of the user in dependence on the category confidence scores.

3. The method of claim 2, wherein determining said categorisation comprises selecting the category having the category confidence score representing the highest probability.

4. The method of claim 2, further comprising:

identifying, by the processor, a command in the received vocalisation; and

determining, by the processor, an action to initiate in response to said command, in dependence on said categorisation.

5. The method of claim 4, wherein:

determining said action to initiate is further according to an authorisation level stored in said memory in association with the categorisation; and

determining the categorisation comprises;

determining whether the category confidence score of said plurality of category confidence scores representing the highest probability differs from the category confidence score of said plurality of category confidence scores representing the second highest probability by more than a predetermined threshold; and

if so, selecting the category having the category confidence score representing the highest probability;

or

if not, selecting the one of the categories having the category confidence score representing the highest and second highest probabilities that corresponds to the lower authorisation level.

6. The method of claim 1, wherein determining the individual confidence scores further comprises taking into account metadata associated with the respective individuals, stored in said memory.

7. The method of claim 1, wherein the received vocalisation and all of the stored vocalisations each comprise a key phrase.

8. The method of claim 4, wherein said action comprises waking a device from a power-save mode.

9. The method of claim 1, further comprising, prior to said receiving, recording, by a microphone, communicatively coupled to the sound data input, the stored vocalisations.

10. The method of claim 9, wherein said recording is repeated periodically, the stored vocalisations being overwritten in said memory in response to each repetition.

11. The method of claim 1, wherein said plurality of categories are separated according to age and/or gender.

12. A computing system comprising a memory and a sound data input, both in communication with a processor, said memory storing instructions which, when executed by said processor, cause said computing system to:

receive, by the sound data input, a vocalisation by said;

determine a plurality of individual confidence scores by comparing said received vocalisation to vocalisations of a plurality of respective individuals stored in the memory, each individual confidence score representing a probability that the user is a respective one of said plurality of individuals, and each of said stored vocalisations stored in association with a corresponding category selected from a plurality of categories; and

determine from said plurality of individual confidence scores and respective associated categories, a plurality of category confidence scores, each category confidence score representing a probability that the user belongs to a respective one of said plurality of categories.

13. A computing system for operating a voice-controlled multi-user device, said computing system comprising:

a sound data input configured to receive a vocalisation by a user;

a memory configured to store vocalisations of a plurality of individuals, each of said plurality of individuals being associated in said memory with a corresponding category selected from a plurality of categories; and

a processor, in communication with the memory and said sound data input, the processor being configured to;

determine a plurality of individual confidence scores by comparing said received vocalisation to said stored vocalisations of the plurality of respective individuals, each individual confidence score representing a probability that said user is a respective one of the plurality of individuals; and

determine, from said plurality of individual confidence scores and respective categories stored in the memory in association with the respective stored vocalisations, a plurality of category confidence scores, each category confidence score representing a probability that the user belongs to a respective one of said plurality of categories.

14. The system of claim 13, wherein the voice-controlled multi-user device has functionality for at least one of:

accessing the internet, making electronic transactions, accessing media content and storing food.