Audio Processing Method Using Segment Noise Floor Analysis
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Solution Overview
Problem
Traditional audio compression methods, such as MP3, cause distortion and loss of low and high frequencies when used with low-bandwidth transmission protocols like Bluetooth, and require significant processing time on devices with low computing power, leading to reduced audio quality and delayed playback.
Innovation Solution
An audio processing method that divides audio files into segments, analyzes the lowest energy value in each segment to set a noise floor, generates a processed segment by discarding unnecessary data, and compresses it using a lossless format like FLAC, allowing for quick transmission and playback even on devices with low processing capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distorted compression method (MP3) is used to reduce data amount for low-bandwidth transmission, then transmission efficiency is improved, but audio quality deteriorates due to loss of low and high frequency sounds
Solution Approach 1:
The audio file is divided into multiple audio segments, with each segment processed independently to determine its noise floor characteristics. This segmentation allows for optimized compression of each segment while maintaining overall audio quality, resolving the contradiction between compression efficiency and quality preservation.
Solution Approach 2:
The patent dynamically adjusts compression parameters based on the noise floor analysis of each audio segment. By changing compression parameters according to the specific characteristics of each segment rather than using a fixed compression method, the system achieves both efficient compression and high audio quality.
2Productivity
If general compression technique involving time domain and frequency domain conversion is used, then compression capability is improved, but processing time increases on low-power devices
Solution Approach 1:
The noise floor analysis and segment processing are performed in advance during the compression phase. By completing the complex analysis work before transmission, the playback device only needs to perform simple decompression operations, significantly reducing processing time on low-power devices while maintaining compression capability.
3Productivity
If lossy compression is used to reduce file size, then data transmission efficiency is improved, but audio fidelity deteriorates
Solution Approach 1:
The patent applies different processing strategies to different parts of the audio signal based on local noise floor characteristics. By analyzing each segment's specific properties and applying localized compression parameters, the system achieves efficient compression without uniformly degrading audio fidelity across the entire signal.
Data Source
AI summary
An audio processing method includes the following operation: dividing an audio file into a plurality of audio segments, in which a processing of a first audio segment of the audio segments includes the following operations: analyzing a first lowest energy value in a spectrum of the first audio segment; comparing the first minimum energy value with a preset energy value, and using a higher one as a first noise floor; generating a first processed audio segment according to the first noise floor and the first audio segment; compressing the first processed audio segment to produce a compressed audio segment; and sending the compressed audio segment to an audio playback device.