Echo Suppression via Dynamic Audio Mode Switching
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Solution Overview
Problem
Conventional echo cancellation algorithms in audio signal processing systems for electronic devices with bone conduction microphones struggle to effectively cancel echo signals, particularly when the speaker signal is strong, leading to poor voice quality due to the dominance of speaker vibrations over human voice vibrations.
Innovation Solution
An audio signal processing method and system that dynamically selects and switches between different audio processing modes based on the strength of the speaker signal, using a combination of first and second audio signals from bone conduction and air conduction microphones to optimize echo suppression and improve voice quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional echo cancellation algorithms are used to process microphone signals, then the system can operate with a simple processing structure, but the echo cancellation effect is poor when speaker signal strength is high
Solution Approach 1:
The patent implements dynamic switching between different audio processing modes (first mode and second mode) based on the strength of the speaker signal. When the speaker signal strength exceeds a threshold, the system switches to the second mode which uses only the first microphone signal; otherwise, it uses the fusion processing mode. This dynamic adaptation resolves the contradiction by adjusting system behavior according to real-time conditions.
Solution Approach 2:
The system changes the processing parameters (which microphone signals to use and what processing mode to apply) based on the speaker signal strength parameter. By monitoring and responding to changes in this parameter, the system achieves better echo cancellation效果 without requiring a permanently complex structure.
2Quantity of substance
If the bone conduction microphone receives both human voice vibrations and speaker vibrations, then the microphone can capture all vibrations, but the voice quality deteriorates due to dominant echo signals
Solution Approach 1:
The patent extracts and removes the harmful echo component from the bone conduction microphone signal through fusion processing with the air conduction microphone signal. The echo cancellation algorithm processes both signals together to separate and eliminate the speaker-induced vibrations, keeping only the desired human voice component.
Solution Approach 2:
The air conduction microphone acts as an intermediary to help process and cancel the echo in the bone conduction microphone signal. By combining the signals from both microphones and applying echo cancellation algorithms, the system uses the air conduction microphone as a mediator to remove the harmful vibrations from the bone conduction path.
3Reliability
If the system always uses fusion processing of first and second audio signals, then comprehensive signal processing is achieved, but processing time increases and real-time performance may be compromised
Solution Approach 1:
The system dynamically adjusts the processing approach based on speaker signal strength. During high speaker signal conditions (echo-prone), it uses simplified processing with only the first microphone signal to reduce computation time. During low speaker signal conditions, it employs comprehensive fusion processing of both microphone signals to maximize quality. This dynamic strategy balances quality and speed.
Solution Approach 2:
The system applies partial processing (using only the first microphone signal) when full fusion processing is not necessary, specifically during high speaker signal conditions where echo cancellation is the primary concern. This partial action approach reduces processing time while maintaining sufficient quality for the given conditions.
Data Source
AI summary
In an audio signal processing method and system for echo suppression, selection of a target audio processing mode is controlled based on strength of a speaker signal. In the method and system, a control signal is generated based on the strength of the speaker signal, and the target audio processing mode is controlled based on the control signal to perform signal processing on a microphone signal so as to obtain better voice quality. When the speaker signal does not exceed a threshold, the system selects a first mode, and performs signal processing on a first audio signal and a second audio signal to obtain a first target audio; or when the speaker signal exceeds a threshold, the system selects a second mode, and performs signal processing on a second audio signal to obtain a second target audio, and the mode can be switched based on the speaker signal.