Speech Correction System for Mask-Induced Muffled Audio
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Solution Overview
Problem
The prevalence of facial coverings during the COVID-19 pandemic has led to increased instances of muffled speech, which complicates communication by reducing sound volume and stifling high-frequency sounds, posing difficulties for individuals with hearing loss and those trying to understand speakers wearing masks.
Innovation Solution
A computer-implemented method and system that monitors speech for distortion, identifies the cause as a facial covering, and automatically corrects the speech distortion by analyzing the type of covering, the speaker's historical sound profile, and environmental factors, using machine learning to reconstruct the original signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial coverings are worn to prevent disease spread, then public health safety is improved, but speech clarity and communication effectiveness deteriorate
Solution Approach 1:
The patent introduces an intermediary system (speech correction system with microphones, processors, and algorithms) that mediates between the distorted speech signal and the listener. The system captures the muffled speech, analyzes the distortion characteristics, and generates a corrected version of the speech signal to deliver to the listener, thereby preserving communication effectiveness while allowing facial coverings to remain in place for public health protection
Solution Approach 2:
The patent applies parameter changes by modifying the acoustic parameters of the speech signal. The system analyzes changes in frequency, amplitude, and temporal characteristics caused by the facial covering, and then applies inverse filtering or generative models to restore the original speech parameters, effectively reversing the distortion introduced by the covering
2Reliability
If facial coverings are used, then disease transmission is reduced, but high-frequency sound transmission is stifled
Solution Approach 1:
The patent replaces the mechanical/acoustic path blocked by the facial covering with an electronic signal processing system. Instead of relying on the physical transmission of high-frequency sounds through the mask (which is blocked), the system uses microphones to capture the distorted signal and electronic algorithms to reconstruct the original high-frequency components, substituting physical acoustic transmission with electronic signal reconstruction
3Ease of operation
If automatic speech correction is implemented, then communication effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by having the system automatically detect speech distortion, identify the cause (facial covering), and apply correction without requiring manual intervention. The system monitors its own performance, adapts to different speakers and covering types, and operates autonomously to maintain communication effectiveness
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors the quality of speech transmission, compares corrected output against expected speech patterns, and adjusts its processing parameters in real-time. This feedback loop allows the system to optimize its correction algorithms dynamically, managing complexity through adaptive control
Data Source
AI summary
A computer-implemented method for correcting muffled speech caused by facial coverings is disclosed. The computer-implemented method includes monitoring a user's speech for speech distortion. The computer-implemented method further includes determining that the user's speech is distorted. The computer-implemented method further includes determining that a cause of the user's speech distortion is based, at least in part, on a presence of a particular type of facial covering. The computer-implemented method further includes automatically correcting the speech distortion of the user based, at least in part, on the particular type of facial covering causing the speech distortion.