Adaptive Audio Sampling Rate Adjustment
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Solution Overview
Problem
Wideband audio sampling consumes significant computing resources, affecting the processing capacity of microprocessors and hindering other tasks, as existing methods do not efficiently adjust sampling rates and bit rates to conserve resources while maintaining signal fidelity.
Innovation Solution
A method that involves performing initial audio sampling at elevated rates and bit rates over a wideband frequency range, estimating pitch and formant frequencies, generating digital audio signals, and reducing sampling rates or bit rates when a qualitative error threshold is met, ensuring accurate representation of analog audio signals with reduced processing demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wideband audio sampling is performed at high sampling rates and bit rates, then audio signal fidelity is improved, but computing resource consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of sampling rates and bit rates based on real-time analysis of audio signal characteristics. The system transitions from static high-rate sampling to adaptive sampling that varies parameters according to signal complexity, thereby maintaining fidelity when needed while conserving resources during simpler segments.
Solution Approach 2:
The system changes physical parameters (sampling rate, bit rate) of the audio processing based on detected signal characteristics such as pitch frequency and formant frequencies. By adjusting these parameters dynamically rather than maintaining fixed high values, the system resolves the contradiction between fidelity and resource consumption.
2Reliability
If fixed high sampling rates are used for wideband audio, then audio quality is maintained, but processing capacity for other tasks is reduced
Solution Approach 1:
The patent replaces fixed sampling rates with dynamic adjustment mechanisms that respond to audio signal characteristics. This allows the system to maintain high processing capacity for audio quality assurance only when necessary, while freeing processing capacity for other tasks during periods of lower signal complexity.
Solution Approach 2:
The system modifies processing parameters (sampling rate, bit rate) based on detected pitch and formant frequencies. When signal characteristics indicate lower complexity, parameters are reduced, thereby increasing overall system productivity without compromising audio quality when needed.
3Speed
If bandwidth is increased for wideband audio sampling, then frequency range coverage is improved, but computing demands increase
Solution Approach 1:
The patent applies different processing qualities and sampling rates to different frequency bands within the wideband range. Rather than uniformly high sampling across all frequencies, the system adapts sampling parameters to local signal characteristics, reducing computing demands while maintaining frequency range coverage.
Solution Approach 2:
The system dynamically changes sampling parameters based on the detected frequency content and signal characteristics. By adjusting parameters locally rather than globally, the system achieves broad frequency coverage with reduced overall computing demands.
Data Source
AI summary
A system and method of adjusting digital audio sampling used with wideband audio includes: performing audio sampling on an analog audio signal at an initial sampling rate and an initial bit rate over a wideband audio frequency range; generating a digital audio signal based on the audio sampling; detecting a qualitative error rate between the analog audio signal and the digital audio signal; and decreasing the initial sampling rate, the initial bit rate, or both for sampling subsequent analog audio when the qualitative error is below a threshold.