Mobile Speech Therapy Game with Offline Recognition

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Solution Overview

Problem

There is a need for improved systems and methods for speech therapy, particularly for adults with developmental disabilities and speech impairments, as existing solutions often require a facilitator for evaluation and lack effective mobile speech recognition capabilities.

Innovation Solution

A mobile serious game called SpokeIt that utilizes an offline critical speech recognition system capable of providing real-time feedback, allowing users to practice speech articulation anywhere without the need for a facilitator. The system includes a machine learning module for enhanced error detection and customization options for acoustic models and dictionaries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If mobile speech therapy apps are used, then accessibility and convenience are improved, but they require a facilitator for evaluation which reduces independence

Engineering Contradiction:
ImproveaccessibilityVSAvoidindependence
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The system enables self-service by implementing automated speech evaluation using speech recognition technology. The mobile device automatically evaluates speech samples without requiring a facilitator, allowing users to independently track their progress and receive feedback, thus resolving the contradiction between accessibility and independence.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of human facilitator evaluation with an automated speech recognition system. This substitution eliminates the need for manual evaluation while maintaining assessment accuracy, enabling users to practice independently on mobile devices without facilitator involvement.

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

2Adaptability or versatility

If non-professional facilitators are trained to deliver speech therapy, then access to therapy is improved, but therapy effectiveness decreases due to lack of expertise

Engineering Contradiction:
Improveaccess to therapyVSAvoidtherapy effectiveness
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system replaces the human facilitator's evaluation role with automated speech recognition technology. This substitution ensures consistent, accurate evaluation regardless of the facilitator's expertise level, maintaining therapy effectiveness while improving accessibility through mobile delivery.

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

Solution Approach 2:

The system implements automated feedback mechanisms that provide immediate, accurate evaluation of speech samples. This feedback loop ensures therapy effectiveness by providing consistent, expert-level evaluation without requiring trained facilitators, thus resolving the contradiction between accessibility and reliability.

Inventive Principle:
Principle #23Feedback

3Ease of operation

If speech therapy is delivered outside the office, then accessibility is improved, but quality control becomes difficult

Engineering Contradiction:
ImproveaccessibilityVSAvoidquality control
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces manual quality control mechanisms with automated speech recognition and evaluation systems. This substitution ensures precise, consistent measurement of speech progress regardless of location, maintaining quality control while enabling therapy delivery anywhere with a mobile device.

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

Data Source

PatentUS12277933B2Systems and methods for mobile speech therapy
Publication Date: 2025.04.15 RGT UNIV OF CALIFORNIA
  • US12277933B2 patent drawing
  • US12277933B2 patent drawing
  • US12277933B2 patent drawing

AI summary

A computer-implemented method can include: an audio input device of a portable electronic device receiving verbal speech input from a user and converting the received verbal speech input into an audio input signal; an online processing module of the portable electronic device performing at least one speech recognition operation on the audio input signal; an offline processing module of the portable electronic device performing at least one speech recognition operation on the audio input signal; an interactive game module of the portable electronic device generating user feedback based on results from the at least one speech recognition operation performed by the online processing module and the at least one speech recognition operation by the offline processing module; and a user interface of the portable electronic device providing the user feedback to the user.