Audio Input Module Channel Detection Using Output Signal Filtering
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Solution Overview
Problem
Existing audio input modules, such as microphone arrays, can become damaged due to environmental factors or aging, leading to ineffective sound pickup and device failure, with existing detection methods lacking in accuracy and robustness for identifying abnormal channels.
Innovation Solution
A method and device that filter audio output signals from input signals to determine comparison parameter values, identifying normal or abnormal channels by adjusting the sound pickup algorithm, and using correlation detection to enhance accuracy and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing detection methods are used to identify abnormal channels in audio input modules, then the detection process is simple, but the accuracy and robustness of identifying abnormal channels is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing comparison parameter values during a calibration phase before actual audio processing. The system pre-filters audio output signals using the same filtering algorithm, pre-calculates comparison parameters, and stores these reference values. During runtime, abnormal channel detection simply compares real-time parameters against these pre-computed references, achieving high accuracy without complex real-time computations.
Solution Approach 2:
The patent introduces an intermediary element - the comparison parameter value - that mediates between the complex audio signal processing and the simple abnormality detection. By filtering audio output signals through the same algorithm and calculating comparison parameters as an intermediate step, the system creates a simplified reference metric that enables accurate detection without directly analyzing complex audio data in real-time.
2Measurement precision
If the sound pickup algorithm is adjusted for each input signal channel to improve detection accuracy, then the accuracy of abnormal channel screening improves, but the processing time and computational complexity increase
Solution Approach 1:
The system performs the computationally intensive filtering and parameter calculation in advance during a calibration phase, storing the comparison parameter values for later use. During actual audio processing, the system only needs to compare real-time parameters against these pre-computed references, dramatically reducing processing time while maintaining high detection accuracy for each input signal channel.
Solution Approach 2:
The patent applies partial action by focusing the complex filtering and parameter calculation only on the audio output signal that needs to be referenced, rather than processing all audio channels equally in real-time. The pre-calculated comparison parameters provide sufficient information for accurate detection without requiring excessive real-time computational resources.
3Reliability
If real-time filtering and comparison parameter calculation are performed for each audio input signal, then the robustness of the detection method improves, but the computational load and processing complexity increase
Solution Approach 1:
The system performs the computationally intensive filtering and parameter calculation in advance during a calibration phase, storing the comparison parameter values for later use. During actual audio processing, the system only needs to compare real-time parameters against these pre-computed references, dramatically reducing processing time while maintaining high detection accuracy for each input signal channel.
Solution Approach 2:
The patent creates a copy of the audio output signal through filtering using the same algorithm, generating a reference comparison parameter. This copied and filtered reference signal serves as a template against which real-time input signals are compared, providing a robust detection mechanism without requiring complex real-time signal generation and processing.
Data Source
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AI summary
A method and device for detecting an audio input module, and a storage medium are provided. The method includes: acquiring (S101) audio input signals received by at least two input signal channels of the audio input module; for each of the audio input signals, filtering (S102) the audio input signal according to a preset audio output signal of an electronic device where the audio input module is located to obtain a target signal; for each of the audio input signals, determining (S103) a comparison parameter value according to the target signal and the audio input signal; and determining (S104) a performance state of the audio input module according to the comparison parameter values.