Computerized Verbal Skill Training System with Speech Recognition Scoring

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Solution Overview

Problem

Conventional skill training methods fail to effectively train users in responding to real-world verbal interactions and evaluating their skills in a simulated environment, lacking adequate feedback and scoring mechanisms to improve retention and confidence in providing information.

Innovation Solution

A computerized training system that provides users with verbal challenges in a simulated environment, scoring their responses based on correctness, speed, and confidence, allowing for real-time or post-testing and focusing on areas needing improvement, with optional deletion of scores to reduce anxiety.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional multiple choice or written sentence completion methods are used for skill training, then testing is easy to administer, but the training does not adequately prepare users for real-world verbal interactions

Engineering Contradiction:
Improveease of administering testsVSAvoideffectiveness of skill training
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent replaces conventional written testing mechanisms with a voice-response-based testing system. The system uses speech recognition technology to capture, transcribe, and evaluate verbal responses, substituting the mechanical act of writing with natural speech interaction. This allows users to demonstrate skills through actual verbal communication rather than written completion, bridging the gap between test-taking and real-world skill application.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary layer consisting of speech recognition software and natural language processing algorithms. This intermediary translates spoken responses into evaluable data, enabling automated assessment of verbal skills without requiring human evaluators to listen to and grade each response manually. The intermediary maintains both ease of administration through automation and reliability through sophisticated speech analysis.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If verbal interactions are used to train skills, then real-world applicability is improved, but automated scoring and feedback become more complex

Engineering Contradiction:
Improvereal-world skill applicabilityVSAvoidcomplexity of automated scoring system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements automated feedback mechanisms that provide immediate evaluation of verbal responses. Speech recognition technology captures user responses, compares them against expected answer patterns, and delivers instant feedback on correctness and completeness. This automated feedback loop enables reliable assessment of real-world verbal skills without requiring complex manual evaluation procedures, as the system automatically analyzes and scores responses based on pre-defined criteria.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes the parameters of assessment from traditional written metrics (correct/incorrect, complete/incomplete) to voice-based metrics including speech recognition confidence scores, response time, and linguistic pattern matching. By transforming the assessment parameters into quantifiable voice characteristics, the system enables automated scoring of verbal interactions while maintaining reliability in evaluating real-world skill applicability.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If instant feedback is provided during verbal training, then learning retention is improved, but processing and evaluating responses in real-time increases system complexity

Engineering Contradiction:
Improvelearning retentionVSAvoidreal-time response processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by pre-processing and storing transcription data and expected answer patterns before the actual assessment occurs. Speech recognition models are pre-trained, answer keys are pre-formatted, and evaluation criteria are established in advance. This preliminary preparation enables the system to provide instant feedback during actual use without performing complex processing in real-time, thus maintaining both fast response times and system manageability.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10152897B2Systems and methods for computerized interactive skill training
Publication Date: 2018.12.11 BREAKTHROUGH PERFORMANCETECH LLC
  • US10152897B2 patent drawing
  • US10152897B2 patent drawing
  • US10152897B2 patent drawing

AI summary

The present invention is directed to interactive training, and in particular, to methods and systems for computerized interactive skill training. An example embodiment provides a method and system for providing skill training using a computerized system. The computerized system receives a selection of a first training subject. A training challenge related to the first training subject is accessed from computer readable memory. The training challenge is provided to a user via a terminal, optionally in verbal form. A first score related to the correctness and/or completeness of a verbalized challenge response provided by the user is stored in memory. A second score related to how quickly the trainee provided the verbalized challenge response is stored in memory. A third challenge score related to the confidence and/or style with which the trainee verbalized the challenge response is stored in memory.