Voice Reinforcement System Consonant Extraction
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Solution Overview
Problem
Existing speech reinforcement systems often impair intelligibility due to feedback issues and signal delays caused by algorithms designed to prevent feedback, which diminish the clarity of the redirected speech signal.
Innovation Solution
A voice reinforcement system that isolates and amplifies consonant sounds within the speech signal using a filter and converter, redirecting the amplified consonant sounds to a listening area while minimizing delays and noise, thereby enhancing speech intelligibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If algorithms are used to prevent feedback in speech reinforcement systems, then feedback is reduced, but signal delays are created that diminish intelligibility
Solution Approach 1:
The patent extracts only the high-frequency components (consonant sounds) above a cutoff frequency from the speech signal, processes these isolated components, and redirects them to the listening area. By taking out only the necessary high-frequency portion rather than processing the entire signal, the system reduces processing time and minimizes delays while maintaining feedback prevention through targeted signal manipulation.
2Area of stationary object
If entire voice signals are redirected to listeners, then communication coverage is improved, but feedback problems occur requiring additional processing algorithms
Solution Approach 1:
The system extracts only the high-frequency components (consonant sounds) above a cutoff frequency from the speech signal. By processing only this extracted portion rather than the entire voice signal, the system achieves effective communication coverage for the listening area while significantly reducing the complexity of feedback prevention algorithms needed.
Solution Approach 2:
The patent segments the speech signal into different frequency components, isolating the high-frequency consonant sounds from the low-frequency vowel sounds. This segmentation allows the system to redirect only the critical high-frequency components to the listening area, simplifying the overall signal processing and reducing feedback issues.
3Measurement precision
If consonant sounds are isolated and amplified, then speech intelligibility is improved, but signal processing complexity increases
Solution Approach 1:
The system changes the frequency parameter by filtering to isolate components above a specific cutoff frequency (2000-4000 Hz). This parameter-based approach to isolating consonant sounds improves speech intelligibility through targeted amplification of critical frequency components while using straightforward filtering techniques that do not excessively increase processing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively improves speech intelligibility by isolating and amplifying consonant sounds, reducing noise interference, and limiting signal delays to ensure clear and coherent communication.
Implementation Method 1
The filter extracts a portion of the signal extending above a cutoff frequency
Implementation Method 2
The converter converts the filtered signal to an aural signal directed towards a listening area
Data Source
AI summary
A voice reinforcement system extracts a portion of a converted speech signal and redirects it towards a listening area where it may be added with the original signal. The system includes a speech input, a filter, and a converter. The speech input generates an intermediate signal from a speech signal. The filter extracts a portion of the signal extending above a cutoff frequency. The converter converts the filtered signal to an aural signal directed towards a listening area.