Transducer Sensor on Moving Component for Distortion Correction
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Solution Overview
Problem
Existing media playback systems face challenges in accurately isolating voice inputs from audio playback environments due to nonlinearities in audio playback devices, such as intermodulation distortion, which affect the reliability of voice processing and sound quality.
Innovation Solution
A model is used to account for nonlinear audio effects of the playback device, allowing for improved self-sound suppression by precompensating audio signals and isolating voice inputs more effectively, thereby enhancing the accuracy of voice processing and sound quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a transducer is used to output audio signals, then audio playback is achieved, but nonlinearities such as intermodulation distortion are generated that interfere with voice input detection
Solution Approach 1:
The patent captures the harmful intermodulation distortion signals generated by the transducer during audio playback and converts them into useful information. By recording these distortion signals during calibration and using them to create correction filters, the system transforms what was previously harmful interference into a tool for compensating transducer nonlinearities, thereby improving voice detection accuracy.
Solution Approach 2:
The system implements feedback by continuously monitoring the actual audio output from the transducer and comparing it with the expected output. The recorded distortion characteristics during calibration serve as feedback information that is used to adjust and correct future audio signals, creating a closed-loop system that compensates for transducer nonlinearities in real-time.
2Measurement precision
If self-sound suppression is applied to isolate voice inputs, then voice processing accuracy is improved, but the complexity of signal processing increases
Solution Approach 1:
The patent performs preliminary action by conducting calibration recordings during audio playback to capture the transducer's distortion characteristics in advance. These pre-recorded distortion profiles are stored and used to create correction filters before actual voice detection occurs, reducing the computational complexity during real-time voice isolation operations.
Solution Approach 2:
The system creates a copy of the transducer's distortion characteristics by recording audio signals and analyzing the resulting distortion patterns. This copied information is then used to generate correction filters that replicate the desired acoustic response, simplifying the complex task of real-time distortion compensation.
Data Source
AI summary
A signal from a sensor may be received indicative of an acceleration of a moving component of a transducer at a location where the sensor is mounted. A position the moving component may be determined based on the acceleration. The position of the moving component may be compared with a reference to output a measure of distortion associated with the transducer. Nonlinearities in audio output by the transducer may be corrected based on the measure of distortion.