Adaptive Audio Processing Strategies for Low-Latency Transmission
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Solution Overview
Problem
Conventional audio and video transmission optimization methods for wireless headsets lack universality and scalability, and increasing transmission power leads to high power consumption.
Innovation Solution
A data transmission method that adjusts audio data processing strategies based on detected parameter values, switching from strategies with better sound effects to those with higher efficiency when certain conditions are met, and pre-processing audio data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If transmission power of the Bluetooth chip is increased to reduce transmission buffer and improve audio video transmission rate, then latency is reduced, but power consumption of the device increases significantly
Solution Approach 1:
The patent implements dynamic switching between normal mode and game mode processing strategies based on real-time detection of audio data characteristics. In game mode, the system dynamically adjusts to use lower compression ratios and different encoding parameters for voice chat audio, optimizing transmission efficiency without requiring increased power consumption. This dynamic adaptation resolves the contradiction by providing scenario-specific optimization rather than universal high-power operation.
Solution Approach 2:
The system changes key processing parameters including compression ratio, encoding format, and buffer management strategies based on the detected audio type and transmission scenario. When game mode is detected, parameters are adjusted to prioritize real-time voice chat transmission with lower compression, while maintaining efficient transmission for other audio types. This parameter adaptation allows latency reduction without sustained high power consumption.
2Productivity
If private customized high-compression coding format is used to improve audio video transmission rate and reduce buffer, then transmission efficiency is improved, but the solution lacks generality and scalability
Solution Approach 1:
The patent employs a universal audio processing framework that can handle multiple audio types (music, voice chat, ambient sound) and transmission scenarios (game mode, music mode, call mode) through a single adaptive system. The framework detects audio characteristics and automatically selects appropriate processing strategies, making the solution applicable to various device types and usage scenarios without requiring device-specific custom implementations. This universality maintains transmission efficiency while ensuring broad compatibility and scalability.
Solution Approach 2:
The system dynamically adapts processing strategies based on real-time detection of audio data characteristics and transmission requirements. Rather than using a fixed private coding format, the system adjusts compression ratios, encoding parameters, and buffer management dynamically according to the audio type and scenario, providing both high efficiency and adaptability across different use cases.
Data Source
AI summary
A data transmission method and device, and a storage medium and a terminal device, which are applied to the technical field of information processing. The method comprises: a sending end device monitoring an audio data transmission parameter, and when the parameter value of the audio data transmission parameter meets a preset condition, adjusting the current first audio data processing policy having a better sound-effect processing effect to be a second audio data processing policy having a slightly poorer sound-effect processing effect but a better data processing efficiency, and pre-processing audio data to be processed according to the second audio data processing policy, so as to obtain, as soon as possible, pre-processed audio data for transmission to a receiving end device. Therefore, the transmission efficiency of audio data transmission is improved, the delay of the audio data during the transmission process is reduced, and the method is universal and expandable.


