Audio Analysis System for Oral Reading Fluency Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for measuring oral reading fluency lack personalization, fail to provide continuous comparison with expert metrics, and do not holistically assess all relevant parameters, leading to ineffective improvement in reading skills.
Innovation Solution
A system that includes an input unit, transcribing unit, and processing unit to analyze audio recordings of a user and a reference person, generating primary metrics such as words per minute, correct word count, insertion, deletion, substitution, prolonging, and pitch information to provide a comprehensive fluency report and progress analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual methods are used to assess reading fluency, then the assessment process is simple to implement, but the measurement precision and comprehensiveness of fluency parameters are insufficient
Solution Approach 1:
The patent replaces manual mechanical assessment with an automated audio processing system that uses speech recognition and natural language processing algorithms to objectively measure reading fluency parameters, thereby improving measurement precision while eliminating human subjectivity and inconsistency
Solution Approach 2:
The patent introduces an intermediary processing layer between the student's oral reading and the assessment results, using audio transcription and linguistic analysis intermediaries to comprehensively evaluate multiple fluency dimensions including accuracy, rate, and prosody, thus achieving holistic measurement
2Adaptability or versatility
If conventional methods are used for reading fluency assessment, then the system is easy to operate, but the ability to provide personalized feedback and continuous comparison with experts is lacking
Solution Approach 1:
The patent implements a feedback mechanism that automatically compares student reading performance with expert reference readings, providing personalized feedback on specific fluency deficiencies and tracking progress over time, thereby enhancing adaptability to individual student needs
Solution Approach 2:
The patent performs preliminary actions by pre-processing audio recordings, transcribing speech to text, and analyzing linguistic features before generating assessment results, which enables comprehensive personalized evaluation while automating complex operations to maintain ease of use
3Productivity
If conventional manual assessment methods are used, then the operational complexity is low, but significant delays occur in sharing feedback with students
Solution Approach 1:
The patent enables self-service by allowing the system to automatically process audio recordings, generate fluency assessments, and provide feedback without requiring manual intervention, thereby dramatically improving productivity and eliminating feedback delays while the automated system handles complex analysis tasks
4Adaptability or versatility
If conventional reading practice methods are used, then the practice sessions are simple to conduct, but student engagement and emotional expression are reduced due to monotonous repetitions
Solution Approach 1:
The patent introduces dynamics by allowing the system to adapt practice sessions based on individual student performance, automatically adjusting difficulty levels, providing targeted feedback on specific deficiencies, and tracking progress over time, thereby making repetitive practice more engaging and effective while maintaining operational simplicity
Data Source
AI summary
A system (1) for analyzing an audio to measure oral reading fluency or progress in oral reading fluency (2) in a text illustrated through the audio. The system (1) includes an input unit (3) which receives a target audio (4) from a user. The target audio (4) relates to an oral reading of the text by the user. The system (1) further includes a transcribing unit (5) which receives and processes the target audio (4) and generates a target transcription (6) of the target audio (4). The system (1) also includes a processing unit (7) which receives and processes at least one of the target transcription (6), the text (8), the target audio (4), or a reference audio (9), or combination thereof, and generates a primary metrics (10) having various parameters measuring reading fluencies. The system supports user specific dictionary customization to incorporate non-dictionary words in the analysis.