Harmonizing System for Video Audio Quality
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Solution Overview
Problem
Existing systems for optimizing sound in content are limited in addressing the complexity and diversity of sound information in video content, failing to provide improved audio quality, especially in professional user environments, and lack advanced audio processing capabilities.
Innovation Solution
A harmonizing system that utilizes an artificial intelligence model to analyze sound information in video content, apply optimal sound mastering presets, and perform advanced audio processing techniques such as noise removal and frequency adjustments, synchronizing optimized audio with video content to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing systems adjust volume and remove basic noise, then simple sound optimization is achieved, but complexity of various sound information and detailed adjustment requirements cannot be satisfied
Solution Approach 1:
The audio signal is segmented into multiple frequency bands through frequency division. The processor separates the audio signal into first to fourth frequency bands, allowing independent processing of different frequency components. This enables detailed adjustment of various sound information elements without requiring a completely complex system redesign.
Solution Approach 2:
A reference signal is introduced as an intermediary element to guide the optimization process. The processor generates a reference signal based on the audio signal and uses it to control the optimization of each frequency band. This intermediary approach enables sophisticated processing while maintaining system manageability.
2Manufacturing precision
If advanced audio processing is applied to improve audio quality, then user experience is enhanced, but system complexity and processing requirements increase
Solution Approach 1:
The audio processing is divided into multiple stages with distinct functions: frequency band separation, reference signal generation, optimization processing, and synthesis. This segmentation allows each stage to focus on specific tasks, improving audio quality through precise control while keeping individual processing modules relatively simple.
Solution Approach 2:
The system dynamically adjusts multiple parameters including frequency band distribution, reference signal characteristics, and optimization strength for each band. By changing these parameters independently, the system achieves high audio quality without requiring proportional increases in overall system complexity.
3Measurement precision
If frequency division and reference signal optimization are used, then detailed sound information control is achieved, but processing time and computational load increase
Solution Approach 1:
Processing is segmented into parallel frequency band operations. Each frequency band is processed independently and simultaneously, which maintains high measurement precision for each band while reducing total processing time through parallel computation architecture.
Solution Approach 2:
The system applies optimization selectively to different frequency bands based on their characteristics and importance. Not all frequency bands receive the same level of processing intensity, which reduces unnecessary computational load while maintaining precision where it matters most.
Data Source
AI summary
This present disclosure is a harmonizing system for optimizing sound in content, and the harmonizing system comprises a user terminal configured to transmit and receive a video content containing sound information, and the user terminal includes a display unit configured to display the video content; a speaker configured to load the sound information and output sound; and a user input unit configured for user input.