SYSTEM AND METHOD FOR PERFORMING SPEECH ANALYTICS WITH OBJECTIVE FUNCTION AND FEATURE CONSTAINTS

• US 20160078360A1
• Filed: 11/30/2015
• Published: 03/17/2016
• Est. Priority Date: 09/30/2010
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: MELAMED, Ilya Dan, Gilbert, Mazin
• Application Number:
  US14/953,786
• Publication Number:
  US 20160078360A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 30/01 Customer relationship services

Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.

Claims

1. A method comprising:

generating, via a processor, elements of a time series, wherein each element comprises speech records having timestamps within a same time interval;

generating, via the processor, a numeric value for each element in the time series according to;

(1) a weight for each speech record, wherein the weight is calculated using a set of candidate feature constraints;

(2) an objective function with respect to a trend to be analyzed; and

(3) a set of record constraints to be applied to a group of records; and

generating, via the processor, an alarm when a value for at least one element in the time series meets a threshold.

2. The method of claim 1, wherein the weight is further calculated using a statistical regression.

3. The method of claim 1, wherein a user specifies a size of the same time interval.

4. The method of claim 1, wherein the elements of the time series are separated by an interval offset.

5. The method of claim 1, wherein the numerical value for each element in the time series is further generated by summing respective scores for a plurality of features.

6. The method of claim 1, further comprising notifying a user when a specific combination of alarms is generated, the specific combination of alarms including the alarm.

7. The method of claim 1, wherein the threshold is relative to other elements in the time series.

8. A system comprising:

a processor; and

a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising;

generating elements of a time series, wherein each element comprises speech records having timestamps within a same time interval;

generating a numeric value for each element in the time series according to;

(1) a weight for each speech record, wherein the weight is calculated using a set of candidate feature constraints;

(2) an objective function with respect to a trend to be analyzed; and

(3) a set of record constraints to be applied to a group of records; and

generating an alarm when a value for at least one element in the time series meets a threshold.

9. The system of claim 8, wherein the weight is further calculated using a statistical regression.

10. The system of claim 8, wherein a user specifies a size of the same time interval.

11. The system of claim 8, wherein the elements of the time series are separated by an interval offset.

12. The system of claim 8, wherein the numerical value for each element in the time series is further generated by summing respective scores for a plurality of features.

13. The system of claim 8, the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising notifying a user when a specific combination of alarms is generated, the specific combination of alarms including the alarm.

14. The system of claim 8, wherein the threshold is relative to other elements in the time series.

15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:

generating elements of a time series, wherein each element comprises speech records having timestamps within a same time interval;

generating a numeric value for each element in the time series according to;

(1) a weight for each speech record, wherein the weight is calculated using a set of candidate feature constraints;

(2) an objective function with respect to a trend to be analyzed; and

(3) a set of record constraints to be applied to a group of records; and

generating an alarm when a value for at least one element in the time series meets a threshold.

16. The computer-readable storage device of claim 15, wherein the weight is further calculated using a statistical regression.

17. The computer-readable storage device of claim 15, wherein a user specifies a size of the same time interval.

18. The computer-readable storage device of claim 15, wherein the elements of the time series are separated by an interval offset.

19. The computer-readable storage device of claim 15, wherein the numerical value for each element in the time series is further generated by summing respective scores for a plurality of features.

20. The computer-readable storage device of claim 15, having additional instructions stored which, when executed by the computing device, cause the computing device to perform operations comprising notifying a user when a specific combination of alarms is generated, the specific combination of alarms including the alarm.