Game Controller Microphone Noise Cancellation for Mechanical Clicks
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Solution Overview
Problem
Current audio input systems, particularly in video game consoles and input devices, face challenges in effectively detecting and removing noise disturbances such as mechanical noises from button pushes, joystick clicks, and vibrations, which interfere with clear voice communication and voice command delivery due to the proximity of microphones to these devices, leading to blurred lines between target sounds and noise disturbances.
Innovation Solution
The system employs a method involving spectral whitening, disturbance detection, and signal correction to differentiate and remove noise disturbances. This includes reducing the amplitude of the harmonic portion of the audio signal, downsampling, applying an even order derivative to generate a detection signal, and adjusting the noise disturbance based on statistical averages to isolate and eliminate noise from the target audio signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a microphone is placed close to mechanical input devices on a game controller, then voice input sensitivity is improved, but mechanical noise disturbances are amplified
Solution Approach 1:
The audio signal is segmented into different frequency components through spectral analysis. The system identifies and separates mechanical noise disturbances from voice signals by analyzing spectral characteristics, allowing selective processing of different signal types while maintaining close microphone placement for sensitivity.
Solution Approach 2:
The system changes signal processing parameters dynamically based on detected signal characteristics. When mechanical disturbances are detected through spectral whitening and disturbance detection algorithms, the system adjusts filtering and amplitude parameters to suppress noise while preserving voice input sensitivity.
2Object-generated harmful factors
If mechanical disturbance amplitude is reduced to improve voice signal quality, then noise removal is improved, but voice signal amplitude is also reduced
Solution Approach 1:
The system applies different processing qualities to different parts of the audio signal. Through spectral analysis, it identifies specific frequency regions containing mechanical disturbances and applies targeted amplitude reduction only to those regions, while maintaining full amplitude for voice signal frequencies, thus removing noise without reducing overall voice signal strength.
3Object-generated harmful factors
If spectral whitening and disturbance detection are applied to remove noise, then noise removal effectiveness is improved, but computational complexity increases
Solution Approach 1:
The system performs preliminary spectral whitening and disturbance detection to pre-identify mechanical noise patterns before main signal processing. This preliminary analysis creates a disturbance detection signal that guides subsequent noise removal operations, making the overall process more efficient by avoiding complex real-time analysis of all signal components.
Data Source
AI summary
A method for reducing noise disturbance associated with an audio signal received through a microphone is provided. The method initiates with magnifying a noise disturbance of the audio signal relative to a remaining component of the audio signal. Then, a sampling rate of the audio signal is decreased. Next, an even order derivative is applied to the audio signal having the decreased sampling rate to define a detection signal. Then, the noise disturbance of the audio signal is adjusted according to a statistical average of the detection signal. A system capable of canceling disturbances associated with an audio signal, a video game controller, and an integrated circuit for reducing noise disturbances associated with an audio signal are included.