Ambisonics Signal Rendering via Segmented Pre-Rendering and NFC Filtering
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Solution Overview
Problem
The technical problem addressed in this patent is the inefficient rendering of ambisonics audio signals, particularly in adapting the rendering to different speaker arrangements.
Innovation Solution
The solution involves a method for rendering ambisonics signals using a loudspeaker arrangement with S loudspeakers, which includes converting ambisonics channel signals into unfiltered pre-rendered signals and performing near field compensation (NFC) filtering to generate filtered loudspeaker channel signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of audio channels and directivity patterns is increased to improve soundfield description precision, then the precision of soundfield description is improved, but the computational complexity and rendering efficiency deteriorate
Solution Approach 1:
The patent segments the rendering process into two distinct stages: pre-rendering (converting ambisonics channels to unfiltered pre-rendered signals) and NFC filtering (applying near-field compensation). This segmentation allows the computationally intensive conversion to be performed once during pre-rendering, while the NFC filtering stage processes fewer signals, thereby reducing overall computational complexity while maintaining high soundfield description precision through higher-order ambisonics channels.
Solution Approach 2:
The patent performs the conversion from ambisonics channel signals to pre-rendered signals in advance during a pre-rendering stage. This preliminary action separates the heavy computational workload from the real-time rendering stage, allowing the main rendering process to operate more efficiently with reduced computational burden while preserving the high precision benefits of multiple ambisonics channels and directivity patterns.
2Device complexity
If the ambisonics signal is converted directly to loudspeaker signals without pre-rendering, then the rendering process is simpler, but the computational complexity during rendering increases
Solution Approach 1:
The patent performs the conversion from ambisonics channel signals to pre-rendered signals in advance during a pre-rendering stage. This preliminary action separates the heavy computational workload from the real-time rendering stage, allowing the main rendering process to operate more efficiently with reduced computational burden while preserving the high precision benefits of multiple ambisonics channels and directivity patterns.
Solution Approach 2:
The patent segments the rendering process into two distinct stages: pre-rendering (converting ambisonics channels to unfiltered pre-rendered signals) and NFC filtering (applying near-field compensation). This segmentation allows the computationally intensive conversion to be performed once during pre-rendering, while the NFC filtering stage processes fewer signals, thereby reducing overall computational complexity while maintaining high soundfield description precision through higher-order ambisonics channels.
3Measurement precision
If NFC filtering is applied to all ambisonics channel signals before conversion, then the near-field compensation is more accurate, but the computational complexity increases
Solution Approach 1:
The patent segments the rendering process into two distinct stages: pre-rendering (converting ambisonics channels to unfiltered pre-rendered signals) and NFC filtering (applying near-field compensation). This segmentation allows the computationally intensive conversion to be performed once during pre-rendering, while the NFC filtering stage processes fewer signals, thereby reducing overall computational complexity while maintaining high soundfield description precision through higher-order ambisonics channels.
Solution Approach 2:
The patent applies NFC filtering selectively to M unfiltered pre-rendered signals rather than to all N ambisonics channel signals. This partial action approach reduces the number of filtering operations required while still achieving effective near-field compensation for the rendered output, thereby balancing compensation accuracy with computational efficiency.
Data Source
AI summary
The present document describes a method (400) for rendering an ambisonics signal using a loudspeaker arrangement comprising S loudspeakers. The method (400) comprises converting (401) a set of N ambisonics channel signals (111) into a set of unfiltered pre-rendered signals (211), with N>1 and S>1. Furthermore, the method (400) comprises performing (402) near field compensation, referred to as NFC, filtering of M unfiltered pre-rendered signals (211) of the set of unfiltered pre-rendered signals (211) to provide a set of S filtered loudspeaker channel signals (114) for rendering using the corresponding S loudspeakers.


