Acoustic Feature Prediction Using Modulation Codes
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Solution Overview
Problem
Conventional audio systems require time-consuming sound pressure measurements and are prone to noise interference when determining optimal sound beam angles for a given space, leading to suboptimal performance.
Innovation Solution
A method and apparatus that generate detection signals using modulation codes to predict acoustic features of a space by measuring acoustic signals from multiple speakers, minimizing noise effects and optimizing audio signal output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sound pressure measurement is performed by changing sound beam direction, then acoustic features can be estimated, but measurement time increases significantly
Solution Approach 1:
The system performs preliminary acoustic feature prediction by generating detection signals with modulation codes before actual audio playback. This preliminary measurement establishes baseline acoustic characteristics (reflection coefficients, propagation features) that enable rapid optimization without requiring time-consuming repeated measurements during operation.
Solution Approach 2:
The system changes the parameter of detection signals by applying different modulation codes (activating/inactivating channels, reversing polarity) to generate diverse acoustic measurements efficiently. This allows multiple acoustic features to be measured simultaneously through parameter variation rather than physical repositioning, dramatically reducing measurement time while maintaining accuracy.
2Measurement precision
If sound pressure measurement is performed in a noisy environment, then acoustic features can be obtained, but noise interference degrades measurement accuracy
Solution Approach 1:
The system uses feedback by comparing measured acoustic signals with predicted signals based on modulation codes. The acoustic feature prediction unit processes measured signals through correlation operations with known modulation patterns, enabling the system to distinguish actual acoustic features from random noise through statistical feedback mechanisms.
Solution Approach 2:
The system introduces detection signals with specific modulation codes as intermediaries between the audio source and measurement process. These modulated detection signals act as carriers that encode acoustic information, allowing the system to extract accurate acoustic features even in noisy environments by correlating received signals with known modulation patterns.
3Measurement precision
If multiple channels are activated for acoustic measurement, then comprehensive acoustic features can be predicted, but system complexity increases
Solution Approach 1:
The system segments the acoustic measurement process by assigning different modulation codes to different speaker channels. Each channel can be independently controlled (activated, inactivated, or polarity-reversed) based on the modulation code, allowing comprehensive acoustic feature prediction through systematic channel segmentation rather than simultaneous complex multi-channel processing.
Data Source
AI summary
An audio system and method using indoor response estimation are disclosed. An acoustic feature prediction method of the audio system may include generating a detection signal based on an input signal and a modulation code; generating an acoustic signal based on the detection signal and outputting the acoustic signal to a plurality of speakers; measuring acoustic signals output from the speakers where the speakers are installed; and predicting acoustic features related to the speakers based on the measured acoustic signals and the modulation code.