Audio Signal Spatiality Optimization via Category-Based Panning
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Solution Overview
Problem
Current audio processing methods fail to effectively enhance the spatiality and broadness of audio signals, limiting the auditory scene reproduction in stereo systems.
Innovation Solution
An audio processing method and system that classify input audio signals into predetermined categories, applying panning and separation curves along with weight parameters to transform the signals into the frequency domain, and then invert them to optimize the audio signal in the time domain, enhancing the stereo and spatial effects by adjusting the directivity and sound space of left and right channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If conventional stereo processing is used, then the audio signal can be reproduced through left and right channels, but the spatiality and broadness of the auditory scene are insufficient
Solution Approach 1:
The audio signal is segmented into multiple frequency bands through Fourier transformation, allowing different processing (panning and separation) to be applied to each frequency component. This segmentation enables precise control over spatial distribution while maintaining spectral clarity, resolving the contradiction between spatiality and clarity.
Solution Approach 2:
Different processing parameters (panning angle curves, separation curves, weight parameters) are applied to different frequency bands and audio categories locally. This local quality approach allows the system to optimize spatial distribution for each frequency component and category while preserving overall auditory clarity, effectively resolving the spatiality-clarity trade-off.
2Adaptability or versatility
If category-based processing is applied, then the audio signal can be optimized for specific types, but the processing complexity increases
Solution Approach 1:
The system performs preliminary classification of the audio signal into predetermined categories (e.g., speech, music, effects) before applying specific processing parameters. This preliminary action allows the system to adapt to different audio types efficiently by selecting appropriate pre-defined processing strategies, reducing the computational complexity compared to real-time adaptive processing.
Solution Approach 2:
The system changes processing parameters (panning angle curves, separation curves, weight parameters) based on the classified audio category. By using parameter changes rather than structural modifications, the system achieves high adaptability to different audio types while maintaining a relatively simple processing architecture, thus resolving the contradiction between versatility and complexity.
3Volume of moving object
If panning and separation curves are applied to all frequency bands, then the spatial effect is enhanced, but the processing time and computational load increase
Solution Approach 1:
The system applies panning and separation curves selectively to specific frequency bands and audio categories rather than uniformly to all frequency bands. This partial action approach enhances spatial breadth where it matters most while reducing unnecessary computational operations, effectively resolving the contradiction between spatial effect and processing time.
Data Source
AI summary
An audio processing method and an audio processing system are provided. In the audio processing method, an audio signal is first provided. Then, plural predetermined categories are provided. Then, a classification step is performed on the audio signal according to the predetermined categories. Thereafter, a transform step is performed on the audio signal to convert the audio signal into a frequency domain. Then, a panning step and a summing step are performed on amplitude signals of the audio signal to obtain a total amplitude signal. Thereafter, a separation step and a summing step are performed on phase signals of the audio signal to obtain a total phase signal. Then, an inverse transform step is performed on the total amplitude signal and the total phase signal to obtain an optimized audio signal in a time domain.