Earphone Whistling Suppression via Dynamic Gain Adjustment
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Solution Overview
Problem
Noise-canceling earphones in transparent mode often produce harsh whistling sounds due to changes in the earphone's cavity structure from accidental pressing or operations, leading to acoustic transmission path changes and potential damage to the device and user's hearing.
Innovation Solution
A method involving the use of two filter groups, where the ambient audio signal is filtered with a first filter group to compensate for signal intensity differences, and upon detecting a whistling condition, the signal is filtered with a second filter group having a lower gain value to prevent signal intensity from exceeding the upper limit, thus suppressing the whistling sound.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the transparent mode is turned on and the earphone is touched by accidental pressing, then the cavity structure changes and acoustic transmission path changes, but this causes harsh whistling sound
Solution Approach 1:
The system continuously monitors the ear canal audio signal to detect whistling conditions, and automatically adjusts the gain of the second filter group in real-time based on the detected signal characteristics, forming a closed-loop feedback control system that suppresses whistling sounds while maintaining transparent mode functionality
Solution Approach 2:
The system dynamically changes the gain parameter of the second filter group based on detected whistling conditions. When whistling is detected, the gain is reduced to suppress the harmful sound; when no whistling is present, the gain is increased to maintain good sound quality in transparent mode
2Object-generated harmful factors
If the gain value of the second filter group is reduced to suppress whistling sound, then the whistling condition is mitigated, but the sound quality in transparent mode may be affected
Solution Approach 1:
The system dynamically adjusts the gain of the second filter group based on real-time detection of whistling conditions. The gain is not fixed but varies dynamically - high gain when no whistling is detected (maintaining sound quality) and low gain when whistling is detected (suppressing harmful sound), thus resolving the contradiction between sound quality and whistling suppression
3Reliability
If the ear canal audio signal is continuously monitored to detect whistling conditions, then the whistling sound can be suppressed in time, but the processing complexity increases
Solution Approach 1:
The system applies different filtering and processing strategies to different parts of the audio signal processing chain. The first filter group processes ambient audio signals with higher gain for good sound quality, while the second filter group processes ear canal audio signals with conditional gain adjustment based on whistling detection, optimizing both suppression effectiveness and processing efficiency
Data Source
AI summary
A whistling sound suppression method includes: obtaining an ambient audio signal, the ambient audio signal being a sound signal in a surrounding environment of an earphone; filtering the ambient audio signal according to a preset first filter group to obtain a first audio signal; obtaining an ear canal audio signal, the ear canal audio signal being a sound signal when the first audio signal propagates in an ear canal; and filtering a subsequently obtained ambient audio signal according to a preset second filter group to obtain a second audio signal in response to the ear canal audio signal meets a whistling condition.