Loudspeaker Layout Estimation Using Noise-Robust DOA Calibration
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Solution Overview
Problem
Existing loudspeaker auto-calibration methods struggle with accurate direction of arrival estimation under low signal-to-noise ratios and background noise, leading to errors in immersive sound generation.
Innovation Solution
A noise-robust time-frequency masking-based direction of arrival estimation method using a signature tone and generalized cross-correlation phase transform, combined with microphone orientation estimation and outlier detection, to enhance DOA estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional direction of arrival estimation methods are used, then the system can operate in noisy environments, but the measurement precision of DOA estimation deteriorates under low signal-to-noise ratios
Solution Approach 1:
The patent extracts and removes noise components from the audio signal using spectral subtraction and noise profiling techniques. By separating the desired signal from noise components in the frequency domain, the system maintains reliable operation in noisy environments while preserving DOA estimation accuracy through clean signal processing
Solution Approach 2:
The patent introduces an intermediary noise profile model that characterizes background noise properties. This noise profile acts as a mediator between the noisy environment and the DOA estimation algorithm, allowing the system to compensate for noise effects and maintain both reliability and measurement precision
2Adaptability or versatility
If auto-calibration is performed to determine loudspeaker locations, then immersive sound generation can be achieved, but the process requires accurate DOA estimation which is compromised by background noise
Solution Approach 1:
The patent performs preliminary noise profiling and spectral subtraction before DOA estimation during the auto-calibration process. By preparing clean signal estimates in advance, the system enables accurate loudspeaker location determination and subsequent immersive sound generation without being compromised by background noise
Solution Approach 2:
The patent implements feedback mechanisms where the estimated DOA results are used to verify and refine the noise profile model. This iterative feedback process ensures that both the noise characterization and DOA estimation are mutually optimized, enabling reliable auto-calibration for immersive sound
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
Enables accurate loudspeaker auto-calibration and immersive sound generation by effectively reducing noise interference and estimating DOA in challenging environments, ensuring precise loudspeaker positioning and layout.
Implementation Method 1
transmitting, via a plurality of loudspeakers capable of being positioned in a listening environment, an audio signal in the listening environment
Implementation Method 2
determining, by each loudspeaker, angle information of the audio signal as received at each loudspeaker relative to other loudspeakers
Implementation Method 3
generalized cross-correlation phase transform
Data Source
AI summary
An audio system is provided. The audio system includes a plurality of loudspeakers and a mobile device. The plurality of loudspeakers is capable of being positioned in a listening environment and being arranged to transmit an audio signal in the listening environment. Each loudspeaker is programmed to determine angle information of the audio signal as received at the loudspeaker relative to other loudspeakers of the plurality of loudspeakers and to transmit a first signal indicative of the angle information. The mobile device is programmed to receive the first signal from each of the loudspeakers and to determine a location for each loudspeaker in the listening environment based at least on the angle information.