Audio Signal Processing for Spatial Sound Localization
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Solution Overview
Problem
Existing audio signal processing techniques for enhancing sound localization are complex and require substantial computing power, making them impractical for devices with limited resources, such as portable devices like cell phones and MP3 players.
Innovation Solution
The use of discrete digital filters based on Head-Related Transfer Functions (HRTFs) to simulate sound localization, allowing for the creation of simple filters that can be implemented in devices with limited computing power, enabling the perception of spatial sound sources from headphones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex sound perception enhancing techniques are used, then spatial audio quality is improved, but device complexity and computing power requirements increase
Solution Approach 1:
The patent divides the audio frequency range into multiple discrete frequency portions and applies different filters to each portion. This segmentation allows complex spatial processing to be broken down into simpler, frequency-specific operations that can be implemented on devices with limited computing power while maintaining spatial audio quality.
Solution Approach 2:
The patent applies different filtering characteristics to different frequency portions based on their specific requirements. By tailoring the filter properties to each frequency range, the system achieves accurate spatial localization without requiring uniformly complex processing across all frequencies, thereby reducing overall computational demands.
2Measurement precision
If full HRTF processing is applied across all frequency ranges, then location-discriminating capability is improved, but filter complexity and computational resources increase
Solution Approach 1:
The patent segments the frequency spectrum into multiple portions and applies simplified filters to each segment rather than using a single complex full-band filter. This approach maintains location-discriminating capability in critical frequency ranges while reducing overall filter complexity and computational requirements for devices with limited resources.
Data Source
AI summary
Systems and methods of processing audio signals are described. The audio signals comprise information about spatial position of a sound source relative to a listener. At least one audio filter generates two filtered signals for each of audio signal. The two filtered signals are mixed with other filtered signals from other audio signals to create a right output audio channel and a left audio output channel, such that the spatial position of the sound source is perceptible from the right and left audio output channels.