Audio Frequency Mapping for Automatic Scene-Adaptive Tuning
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Solution Overview
Problem
Current audio processing technologies focus on achieving a flat frequency response, which may lose the characteristic of the audio and fail to express it perfectly, as they are not suitable for automatic adjustment across different conditions and scenes, leading to suboptimal auditory experiences.
Innovation Solution
An algorithm-based audio optimization method that converts audio files from the time domain to the frequency domain, matches frequency ranges with standard sound sources, and applies specific frequency mapping functions to compress or expand frequencies, resulting in an optimized audio file through inverse Fourier transform, enhancing sound quality automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a frequency equalizer is used to adjust gain values in each frequency band, then the auditory effect of music may be improved, but the method is only suitable for manual adjustment according to personal preference and cannot automatically adjust under different conditions and scenes
Solution Approach 1:
The system automatically identifies audio types and applies appropriate frequency mapping functions without requiring manual user intervention. The audio processing device self-adjusts parameters based on detected audio characteristics, enabling automatic adaptation to different conditions and scenes while improving auditory effect.
Solution Approach 2:
The patent employs frequency mapping functions that dynamically change frequency parameters based on detected audio types. Different frequency mapping functions are selected and applied automatically according to the identified audio characteristics, enabling the system to adapt to various audio scenarios without manual adjustment.
2Measurement precision
If the frequency response curve is made flat to improve voice accuracy, then the reproduction capability is enhanced, but the characteristic of the voice is lost and cannot be expressed perfectly
Solution Approach 1:
The patent applies different frequency mapping functions to different frequency bands based on the identified audio type. Instead of uniformly flattening the entire frequency response, the system selectively adjusts specific frequency ranges to preserve voice characteristics while maintaining accuracy, allowing different parts of the frequency spectrum to have different processing qualities.
Solution Approach 2:
The system dynamically selects and applies frequency mapping functions based on real-time audio type detection. The frequency response characteristics change dynamically according to the detected audio scenario, enabling the system to maintain both accuracy and characteristic expression by adapting to different audio types rather than using a static flat response.
Data Source
AI summary
The invention discloses an algorithm-based audio optimization method, an intelligent terminal and a storage device. The method includes steps of converting an original audio file on time domain into an audio file on frequency domain through Fourier transform; before extracting and matching frequency range and amplitude information of an audio signal with those of different types of existing audio test standard sound sources to determine type of the audio signal; matching corresponding frequency mapping function by function library for transform to obtain a processed audio file, obtaining an optimized audio file by inverse Fourier transform. The present invention searches a similar type of sound source by comparing and matching original audio with standard sound sources, determines the frequency mapping function for transform, maps the frequency, compresses or expands relevant frequency, and automatically performs tuning to achieve effect of improving sound quality.