Interval-Based Noise Reduction for Audio Signal Processing
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Solution Overview
Problem
Existing noise reduction technologies for audio signals captured by multiple microphones are ineffective in managing noise variations across different frequency bands and intervals, leading to suboptimal audio quality due to inadequate adaptation of noise reduction methods.
Innovation Solution
An apparatus and method that divide audio signals into intervals, determine noise characteristics, and apply tailored noise reduction techniques based on specific parameters for each interval, allowing independent noise reduction strategies for different frequency bands and times, including switching between methods to optimize audio output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single noise reduction method is applied to all audio signals, then the device complexity is reduced, but the audio quality deteriorates due to inability to adapt to different noise characteristics in different frequency bands and time intervals
Solution Approach 1:
The patent divides the audio signal processing into multiple frequency bands and time intervals, allowing different noise reduction methods to be applied to different segments. The audio spectrum is segmented into frequency bands, and each band is processed independently with appropriate noise reduction techniques selected based on the specific noise characteristics detected in each segment.
Solution Approach 2:
The system dynamically selects and adjusts noise reduction methods based on real-time analysis of noise characteristics in different frequency bands and time intervals. The noise reduction parameters and methods are not fixed but adapt dynamically to changing acoustic conditions, allowing optimal performance across varying scenarios.
2Reliability
If noise reduction is applied uniformly across all frequency bands, then the processing simplicity is maintained, but the effectiveness of noise reduction deteriorates due to different noise characteristics in different frequency ranges
Solution Approach 1:
Different noise reduction methods and parameters are applied to different frequency bands based on the specific noise characteristics of each band. Low frequency bands may use different techniques compared to high frequency bands, as each band's noise profile is analyzed and treated locally rather than applying a uniform approach across the entire spectrum.
Solution Approach 2:
The system changes processing parameters based on the frequency band and detected noise characteristics. Thresholds, filter coefficients, and noise reduction intensity are adjusted as parameters specific to each frequency band and time interval, allowing optimized noise reduction effectiveness for diverse acoustic conditions.
3Manufacturing precision
If different noise reduction methods are applied to different frequency bands and intervals, then the audio quality is improved, but the computational complexity increases
Solution Approach 1:
The system applies noise reduction selectively rather than uniformly across all frequency bands and time intervals. Full noise reduction processing is applied only where needed based on detected noise characteristics, while bands or intervals with acceptable noise levels may receive reduced or no processing, optimizing the balance between quality and computational effort.
Data Source
AI summary
An apparatus configured to: obtain one or more audio signals, wherein the one or more audio signals comprise audio captured with a plurality of microphones; divide the obtained one or more audio signals into a plurality of intervals; determine one or more parameters relating to one or more noise characteristics for respective ones of the plurality of intervals; and control noise reduction applied to the respective ones of the plurality of intervals based on the determined one or more parameters within the respective ones of the plurality of intervals.