Frequency-Band Audio Mixing to Preserve Signal Comprehensibility
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Solution Overview
Problem
Conventional audio mixing systems often fail to ensure that all audio signals are effectively heard by the listener, as they may reduce the magnitude of certain signals to the point where they are not comprehended, leading to incomplete audio perception.
Innovation Solution
The described methods and systems spectrally shape audio signals by modifying their frequency spectra, specifically reducing the magnitude of certain frequency bands in one audio signal based on the frequency bands present in another signal, and adjusting the magnitude of corresponding frequency bands in the second signal to match or complement the first, thereby enhancing the mixing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the magnitude of certain audio signals is reduced to accommodate other signals, then the mixed signal can include multiple signals, but the reduced signals may not be heard or comprehended by the listener
Solution Approach 1:
The audio signals are divided into multiple frequency bands (e.g., bass, midrange, treble). Each frequency band is processed independently to determine its spectral content, allowing selective magnitude adjustment in specific bands without affecting the entire signal. This segmentation enables preserving important signal components while reducing others.
Solution Approach 2:
Different magnitude adjustments are applied to different frequency bands based on their individual spectral characteristics. Instead of uniformly reducing all frequencies, the system applies localized quality control where each frequency band receives tailored processing. This ensures that signals remain comprehensible in frequency ranges where they contain important information while allowing reduction in less critical bands.
2Quantity of substance
If the magnitude of audio signals is uniformly reduced, then the mixed signal can accommodate multiple signals, but the overall perceived level and quality deteriorate
Solution Approach 1:
The frequency spectrum is segmented into multiple bands, allowing independent analysis and processing of each band's spectral content. This enables selective magnitude adjustment rather than uniform reduction, preserving audio quality in critical frequency ranges while accommodating multiple signals overall.
Solution Approach 2:
The system dynamically changes the magnitude parameter of different frequency bands based on their spectral content analysis. By adjusting magnitude selectively across frequency bands rather than applying a uniform reduction, the system maintains audio signal quality while enabling mixing of multiple signals.
3Quantity of substance
If spectral shaping is applied to modify frequency bands, then signals can be integrated seamlessly, but the processing complexity increases
Solution Approach 1:
The frequency spectrum is divided into discrete bands that can be independently analyzed and processed. This segmentation simplifies the processing complexity by breaking down the complex task of spectral shaping into manageable frequency-specific operations, making the system more tractable while still achieving seamless integration of multiple signals.
Data Source
AI summary
Techniques are described herein that are capable of spectrally shaping audio signal(s) for audio mixing. Spectrally shaping an audio signal means modifying a frequency spectrum of the audio signal. A frequency spectrum of an audio signal is a representation of the audio signal in the frequency domain. For instance, a frequency spectrum may be represented using multiple frequency bands. The frequency spectrum may be modified by modifying characteristic(s) (e.g., magnitude, phase, etc.) one or more of the frequency bands.