Adaptive Audio Gain Control for Live Broadcast Distortion
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Solution Overview
Problem
Live broadcasts originating from mobile devices often lack the quality of traditional studio broadcasts due to ambient noise and varying microphone distances, resulting in inconsistent audio levels and distortion.
Innovation Solution
A system that predicts and adjusts the gain factor for amplifying audio data in real-time to maintain distortion within a target range, using algorithms based on previous gain factors and observed distortion levels, ensuring clear and consistent audio transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If audio data from mobile devices is amplified using fixed gain factors, then amplification is simple and fast, but distortion occurs and audio quality deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from fixed gain factors to dynamic, adaptive gain adjustment. The system continuously monitors audio signal characteristics and adjusts amplification in real-time based on current conditions, allowing the gain factor to change adaptively rather than remaining static. This resolves the contradiction by enabling both rapid response (maintaining productivity) and quality control (improving manufacturing precision).
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors the audio signal and distortion levels, then uses this information to adjust the gain factor accordingly. The feedback loop compares actual audio quality metrics against target ranges and modifies amplification to maintain optimal quality, thereby resolving the contradiction between fast amplification and high audio quality.
2Use of energy by moving object
If amplification is increased to compensate for varying microphone distances, then audio levels become sufficient, but distortion increases beyond acceptable limits
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the gain factor based on real-time analysis of audio signal characteristics. Instead of using a fixed high amplification level, the system modifies the gain parameter adaptively according to the actual signal conditions, microphone distance variations, and ambient noise levels. This allows sufficient audio signal strength to be achieved without consistently applying excessive amplification that would cause distortion.
Solution Approach 2:
The system transitions from static amplification to dynamic gain adjustment, where the amplification level changes continuously based on real-time conditions. This dynamic approach enables the system to provide just enough amplification to compensate for varying microphone distances while avoiding the distortion that results from over-amplification.
3Adaptability or versatility
If live broadcasts are conducted in active environments with ambient noise, then location flexibility is improved, but audio quality and clarity deteriorate
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor audio signal quality in real-time and adjust processing parameters accordingly. The system analyzes characteristics of ambient noise and audio signals, then applies appropriate filtering and amplification adjustments to maintain clarity despite noisy environments. This feedback-driven approach enables the system to adapt to various broadcast locations while preserving audio quality.
Solution Approach 2:
The system dynamically changes processing parameters such as gain factors and filtering characteristics based on the detected environmental conditions. By analyzing the acoustic environment and adjusting parameters in real-time, the system maintains audio clarity across diverse broadcast locations, thereby resolving the contradiction between location flexibility and audio quality.
4Manufacturing precision
If manual audio level adjustment is performed in real-time, then audio quality can be optimized, but operational complexity and time consumption increase
Solution Approach 1:
The patent applies self-service by implementing automatic audio level adjustment through algorithms that independently analyze and process audio signals. The system performs gain adjustment, distortion detection, and quality optimization without requiring manual intervention. This automated self-adjusting mechanism maintains high audio level consistency while preserving operational simplicity, as the system handles all adjustments autonomously based on real-time signal analysis.
Solution Approach 2:
The system employs feedback mechanisms where audio signals are continuously monitored and automatically adjusted based on detected characteristics. The feedback loop enables the system to self-correct audio levels and maintain consistency without operator involvement, thereby achieving both high audio quality and ease of operation simultaneously.
Data Source
AI summary
Gain factors for amplifying audio data of live broadcasts from mobile devices are selected to ensure that distortions of audio data subsequently generated during the live broadcasts remain within targeted distortion ranges. When a creator initiates a live broadcast from a personal device, audio data captured by the personal device is subjected to amplification and a level of distortion of the audio data is determined. A gain factor for amplifying audio data subsequently captured during the live broadcast is calculated based on a previous gain factor, as well as distortion of the audio data resulting from hard or soft clipping, or any other basis. The gain factor may increase, decrease or remain constant, depending on the prior gain factor and the previously observed distortion.