Spatial Audio Analysis Based on Perceptually Empirical Mode Decomposition
The goal of immersion system is to create the illusion of proximity for people in different areas. To achieve this, it is essential to pick-up and regenerate all the crucially visual and aural information that is perceptible by human senses. One of the important decisions in any audio processing system is to choose appropriate features. The criteria may count on how exactly the signals are represented, and how easily the following process can be performed. In addition, it is more challenging if we would like to simulate the acoustical characteristics around a specific instrument based on the universal recording. The totally distinct spectral characteristics generated by the target instrument should dominate the recording, whereas the subtly surrounding audio clues must be preserved as well. In this paper, we analyze such spatial audio and demonstrate how it can be systematically computed by the perception-based empirical mode decomposition. As an example of our method, analysis for reference microphone signal and its counterpart that simulates what a spot microphone would pick up near a percussive instrument is presented.
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