Reading Assistant Speech Classifier Adaptation
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Solution Overview
Problem
Current voice detection systems are ineffective in providing reading assistance, particularly for users with speech impediments or underdeveloped vocal tracts, and fail to engage users adequately, leading to increased resource utilization and reduced battery life.
Innovation Solution
An electronic device with a display, audio sensor, and processors adjusts the difficulty level of text content based on the user's reading proficiency and engagement, using a speech classifier to modify operational values and provide feedback to aid proper reading and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current voice detection systems are used to detect speech, then speech detection capability is provided, but the system cannot effectively assess user reading proficiency or provide reading assistance feedback
Solution Approach 1:
The patent modifies the operational parameters of the speech classifier by adjusting threshold values and operational characteristics based on speech proficiency indicators. This allows the system to adapt its detection sensitivity and assessment criteria to match the user's reading level, thereby improving both measurement precision and reliability in assessing reading proficiency and providing appropriate feedback.
2Productivity
If text content difficulty level is not adjusted, then system operation is simple, but user engagement decreases and resource utilization increases
Solution Approach 1:
The patent implements dynamic adjustment of text content difficulty levels based on real-time speech proficiency assessment. The system continuously monitors user reading performance and automatically adapts the difficulty level of subsequent text content, optimizing both user engagement and reading completion efficiency while preventing excessive resource utilization that would occur with static difficulty levels.
Solution Approach 2:
The system employs feedback mechanisms where speech proficiency indicators are continuously assessed and used to adjust text difficulty levels. This closed-loop feedback ensures that users receive appropriately challenging content that maintains engagement without being so difficult as to cause frustration and disengagement, thereby improving reading completion efficiency while managing resource consumption.
3Adaptability or versatility
If speech classifier operational values are not modified, then system complexity is low, but the system cannot adapt to users with speech impediments or varying reading proficiency
Solution Approach 1:
The patent adjusts operational values of the speech classifier based on detected speech proficiency indicators. By dynamically modifying threshold parameters and operational characteristics, the system adapts to accommodate users with speech impediments or varying reading proficiency levels without requiring complex reconfiguration, thus improving adaptability while maintaining manageable system complexity.
Data Source
AI summary
A method includes obtaining a speech proficiency value indicator indicative of a speech proficiency value associated with a user of the electronic device. The method further includes in response to determining that the speech proficiency value satisfies a threshold proficiency value: displaying training text via the display device; obtaining, from the audio sensor, speech data associated with the training text, wherein the speech data is characterized by the speech proficiency value; determining, using a speech classifier, one or more speech characterization vectors for the speech data based on linguistic features within the speech data; and adjusting one or more operational values of the speech classifier based on the one or more speech characterization vectors and the speech proficiency value.