Audio Cancellation Control for Low-Latency Noise Capture
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Solution Overview
Problem
Existing audio capture systems in devices with microphones, such as laptops and gaming consoles, struggle with environmental noise interference, leading to reduced audio quality and increased processing burden due to conventional noise suppression techniques.
Innovation Solution
A method and system for noise cancellation that utilizes a controller with integrated processing capabilities to detect user inputs and generate responses to mitigate audio effects, using look-up tables, microphone audio analysis, and speaker outputs to reduce unwanted noise during audio capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If software-based noise suppression techniques are used to isolate user's voice, then audio quality is improved, but processing burden increases significantly
Solution Approach 1:
The system segments the audio processing task by using multiple microphones to capture different spatial audio signals, then processes these segmented signals separately through beamforming algorithms to isolate the user's voice from environmental noise, reducing the processing burden on a single system while improving audio quality
Solution Approach 2:
The patent introduces an intermediary processing layer that uses beamforming algorithms to pre-process audio signals from multiple microphones before transmission, effectively filtering environmental noise and isolating the user's voice, thereby reducing the processing burden on the receiving system while maintaining high audio quality
2Object-affected harmful factors
If push-to-talk function is used to reduce microphone transmission time, then environmental noise impact is reduced, but user convenience deteriorates
Solution Approach 1:
The system continuously monitors audio signals from multiple microphones and dynamically adjusts beamforming parameters in real-time to suppress environmental noise, providing automatic noise cancellation without requiring user intervention, thus maintaining user convenience while reducing environmental noise impact
Solution Approach 2:
The audio system performs self-service noise suppression by automatically analyzing audio signals from multiple microphones and applying beamforming algorithms to isolate the user's voice, eliminating the need for manual push-to-talk control while continuously reducing environmental noise impact
3Measurement precision
If beamforming algorithm is applied to process audio signals, then audio quality is improved, but processing time increases
Solution Approach 1:
The system performs preliminary beamforming processing on audio signals from multiple microphones before transmission, pre-calculating spatial filtering parameters and isolating the user's voice in advance, thereby reducing the processing time required at the receiving end while maintaining high audio quality
Solution Approach 2:
The patent dynamically adjusts beamforming algorithm parameters such as filter coefficients and spatial weights based on real-time audio signal analysis, optimizing the processing efficiency and reducing computation time while maintaining high audio quality through adaptive parameter changes
Data Source
AI summary
A noise cancellation system comprising an audio identification unit configured to identify audio to which a noise cancellation process is to be applied, an output generation unit configured to generate one or more noise cancellation signals in dependence upon the identified audio, and two or more audio output units each configured to reproduce a respective subset of the generated one or more noise cancellation signals, such that the two or more audio output units are configured to produce different outputs.