Bluetooth Audio Data Recovery Using Frequency Domain Segmentation
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Solution Overview
Problem
Bluetooth audio transmission faces challenges with packet loss and errors due to limited bandwidth, leading to poor audio quality, especially at higher packet loss rates, as existing recovery methods like CRC and model-based interpolation fail to provide high-quality recovery.
Innovation Solution
The method involves dividing audio data into first and second frequency domain components, using a high-complexity Gapped-data Amplitude and Phase Estimation algorithm for the second component and a lower-complexity noise shaping and random phase algorithm for the first component, reducing computational complexity and achieving high-quality audio recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If model-based interpolation (AR model or sine model) is used to recover audio data, then audio recovery quality is improved, but computational complexity increases
Solution Approach 1:
The patent divides audio data into different frequency domain components (tone-dominant and noise-like components) and applies different recovery algorithms to each segment. This segmentation allows the system to use complex model-based interpolation only for tone-dominant components where it provides significant benefit, while using simpler methods for noise-like components, thereby resolving the contradiction between recovery quality and computational complexity.
Solution Approach 2:
The patent applies different recovery strategies to different frequency components based on their local characteristics. Tone-dominant components receive sophisticated model-based recovery, while noise-like components receive simpler treatment. This local differentiation optimizes the balance between recovery quality and computational burden.
2Reliability
If redundant information (CRC check, error correction code) is added to the code stream, then error protection is improved, but transmission bandwidth efficiency decreases
Solution Approach 1:
Instead of applying uniform error protection across all audio data, the patent applies error recovery algorithms selectively based on packet loss conditions. The system monitors packet loss rates and applies sophisticated recovery methods only when necessary, rather than always using heavy error correction codes, thus maintaining reliability while improving bandwidth efficiency.
3Device complexity
If simple recovery methods (silent frame or repeating previous good frame) are used, then computational complexity is reduced, but audio recovery quality deteriorates
Solution Approach 1:
The patent implements a dynamic recovery system that adapts its complexity based on the specific characteristics of the audio data and the packet loss conditions. The system automatically selects appropriate recovery algorithms for different frequency components and packet loss scenarios, ensuring adequate recovery quality without consistently using the most computationally intensive methods.
Data Source
AI summary
An audio data recovery method, an audio data recovery device and a Bluetooth device are described. The audio data recovery method comprises: dividing audio data into a first frequency domain component and a second frequency domain component in a frequency domain; using a second data recovery algorithm to recover the audio data in the second frequency domain component; and using a first data recovery algorithm with lower complexity than the second data recovery algorithm to recover the audio data in the first frequency domain component.