SPEECH AFFECT ANALYZING AND TRAINING

• US 20150302866A1
• Filed: 10/15/2013
• Published: 10/22/2015
• Est. Priority Date: 10/16/2012
• Status: Abandoned Application

• Current Assignee: Tal Sobol Shikler
• Original Assignee: Tal Sobol Shikler
• Inventors: SOBOL SHIKLER, TALL
• Application Number:
  US14/435,379
• Publication Number:
  US 20150302866A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/20 Education
• CPC Class Codes: G10L 25/48 specially adapted for particular use
• CPC Class Codes: G10L 25/63 for estimating an emotional state

Abstract

We describe a method for the analysis of non-verbal audible expressions in speech, comprising the steps of: providing one or more input means for receiving audible expression from one or more users/participants; transferring said audible expression into speech signal; inputting said speech signal into at least one computer system; processing, at the at least one computer system, said speech signal to determine and output data representing a degree of affective content of said speech signal; and providing a user interface adapted for allowing the analysis of said output data

Claims

1-41. -41. (canceled)

42. A method for the analysis of non-verbal audible expressions in speech, comprising:

providing one or more input means for receiving audible expression from one or more users/participants;

transferring said audible expression into speech signal;

inputting said speech signal into at least one computer system;

processing, at the at least one computer system, said speech signal to determine and output data representing a degree of affective content of said speech signal; and

providing a user interface adapted for allowing the analysis of said output data.

43. A method according to claim 42, wherein said input means is capable of accepting a plurality of input formats, and wherein said user interface is capable of providing output data presenting results of the analysis in a plurality of different output formats.

44. A method according to claim 43, wherein the user interface allows the comparison between speech signals acquired on various occasions, such as pre-recorded signals and real-time signals, and the like.

45. A method according to claim 43, wherein said user interface is configured to provide said graphical indication for a time series of instances of said speech signal, to permit comparison between said time series of instances of said speech signal.

46. A method according to claim 42, wherein the person recording, or the person analyzing, or the analysis system is able to time stamp places of interest, to appear in a visualization or report output.

47. A method according to claim 42, further comprising generating summaries of the analysis either automatically or semi-automatically, with/without details of the analyzed interaction/interactions.

48. A method according to claim 47, wherein the summaries are in a computerized form, with ability of the user to identify a time of interest in the analysis, and hear or see the relevant recorded signal, in particular both from a main application and from one or more of said summaries.

49. A method according to claim 42, wherein the analysis is of the expressions of several users (or other speakers/participants/people defined by the user/s) at the same time.

50. A method according to claim 42, further comprising showing analysis of one or several participant, with various degrees of complexity and detail.

51. A method according to claim 42, wherein said user interface is configured to provide said graphical indication for a plurality of said users/participants simultaneously, to permit comparison between said users/participants.

52. A method according to claim 42, wherein the user is a human or a computerized entity, such as a computer game, or a car, or a robot.

53. A method according to claim 42, wherein said users/participants comprise pupils, or field operators, or pilots, or emergency forces, or drivers, or patients, or clients, or call centre clients, or call centre operators, or analyzers and/or instructors of inter-personal communication.

54. A system or method according to claim 42 configured to combine said affect-representing output data with additional data captured from and relating to an affect state of said user/participant, for determining an affect state of said user in terms of scores for each of a set of affect-related parameters of said speech signal.

55. A method according to claim 54, further comprising allowing presentation and analysis of images, speech signal, various vocal features, analysis of one or of several utterances or sentences, analysis of an entire interaction and of several interactions, various pinpointing and highlighting options in any applicable form such as in graphics, video, sound, speech, text, text-to-speech, electronic formats, numbers, and more.

56. A method according to claim 54, further comprising allowing integrating with one or more modalities or cues, such as video recordings and images of facial expressions, body posture, input comprising verbal content of speech, physiological cues, sensor data, event and context, other electronically available data on the one or several or multiple analyzed user/participant, and interactions.

57. A method according to claim 42, wherein parallel analysis is presented of the various modalities and cues, optionally in multiple formats, including marking of complimenting, enhancing, and/or contradicting analysis results.

58. A method according to claim 42, wherein the analysis is accompanied by additional advice for better decision making, such as graphical and/or vocal advice for training.