Speech Intelligibility Measurement for Automated Audio System Tuning
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Solution Overview
Problem
Large-scale networked audio systems in environments like conference rooms face challenges in tuning due to complexity, requiring expert teams and advanced test signal strategies to accurately configure speakers and microphones across multiple floors and rooms.
Innovation Solution
A method and apparatus that automatically identify and tune speakers and microphones by providing test signals, detecting operational components, establishing background noise levels, and applying infinite impulse response filters to optimize sound pressure levels and frequency responses, enabling automated equalization and gain adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced test signal strategies and independent speaker signals are used to accurately represent multiple speakers, then measurement precision is improved, but device complexity and setup difficulty worsen
Solution Approach 1:
The patent combines multiple speaker signals into a single composite test signal that excites all speakers simultaneously. Instead of testing each speaker independently with separate signals, the system uses one unified signal containing multiple frequency components that can be analyzed to determine the response of each individual speaker, thereby reducing test process complexity while maintaining measurement precision
Solution Approach 2:
The single composite test signal serves multiple functions: it excites all speakers in the system, enables identification of individual speaker responses through frequency analysis, and provides the basis for calculating speech transmission index. This multi-functional approach eliminates the need for separate test signals for each speaker, reducing setup complexity
2Reliability
If expert teams manually setup and test audio equipment to ensure proper configuration, then reliability is improved, but ease of operation worsens
Solution Approach 1:
The system performs automatic self-configuration by analyzing the responses of speakers to test signals and autonomously calculating the speech transmission index and identifying acoustic issues. The system self-diagnoses problems such as feedback paths, standing waves, and dead spots without requiring expert interpretation, thereby maintaining reliability while dramatically improving ease of operation
Solution Approach 2:
The system uses microphones to capture feedback from speakers and automatically analyzes this feedback to determine speaker responses, identify acoustic problems, and verify proper system configuration. This automated feedback loop replaces manual expert testing while ensuring configuration accuracy through objective measurement and analysis
3Measurement precision
If multiple speakers are tested sequentially with individual signals, then measurement precision is improved, but productivity worsens
Solution Approach 1:
The system merges the testing of multiple speakers into a single simultaneous measurement operation. By using a composite test signal that excites all speakers at once and analyzing the combined responses through frequency domain techniques, the system achieves the same measurement precision as sequential testing but completes the process in a fraction of the time, thereby improving productivity without sacrificing accuracy
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
This solution simplifies the tuning process, reducing the need for expert teams and enabling efficient configuration of large-scale audio systems, ensuring optimal sound quality and intelligibility across multiple rooms.
Implementation Method 1
providing test signals to play sequentially from each amplifier channel of the amplifier and the plurality of speakers, monitoring the test signals from the one or more microphones simultaneously to detect operational speakers and amplifier channels
Implementation Method 2
applying infinite impulse response filters to optimize sound pressure levels and frequency responses, enabling automated equalization and gain adjustments
Data Source
AI summary
An example method of operation may include initiating an automated tuning procedure, detecting via one or more microphones a sound measurement associated with an output of one or more speakers at two or more locations, determining a number of speech transmission index (STI) values equal to a number of microphones, and averaging the speech transmission index values to identify a single speech transmission index value.