Spatial Cue Rendering Control in Multi-Channel Audio Decoding
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Solution Overview
Problem
Conventional methods for decoding multi-object or multi-channel audio signals lack flexibility in controlling the spatial positioning of audio signals, relying on fixed decoding processes that do not allow for user-controlled or external system-directed adjustments of spatial cues.
Innovation Solution
An apparatus and method that includes a decoder and a spatial cue renderer, which decodes down-mixed audio signals and controls spatial cues such as Channel Level Difference (CLD), Channel Prediction Coefficient (CPC), and Inter-Channel Correlation (ICC) to dynamically adjust the rendering of multi-object or multi-channel audio signals based on user or external system input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional fixed decoding processes are used for multi-channel audio signals, then decoding simplicity is maintained, but spatial positioning flexibility is lost
Solution Approach 1:
The audio signal processing is segmented into distinct functional modules: a decoder for basic signal recovery, a spatial cue renderer for positional control, and a rendering controller for parameter adjustment. This segmentation allows each module to perform a specific function, achieving spatial flexibility without overwhelming system complexity.
Solution Approach 2:
The system transitions from static fixed decoding to dynamic rendering by introducing controllable spatial parameters. The rendering controller adjusts spatial cue parameters (azimuth, elevation, distance) in real-time, enabling adaptive spatial positioning while maintaining a relatively simple decoder structure.
2Manufacturing precision
If spatial cues are fixed during decoding, then processing speed is maintained, but sound quality and rendering precision deteriorate
Solution Approach 1:
Spatial cue parameters are pre-calculated and stored based on audio object positions, then quickly retrieved and applied during rendering. This preliminary preparation enables high-precision spatial rendering without requiring complex real-time calculations, thus maintaining processing speed.
Solution Approach 2:
A rendering controller acts as an intermediary between the decoder and spatial cue renderer, pre-processing control parameters and managing the coordination between components. This intermediary layer optimizes the workflow, ensuring both precision in spatial rendering and efficiency in processing.
3Quantity of substance
If down-mixed mono or stereo signals are transmitted, then bandwidth efficiency is improved, but spatial information loss increases
Solution Approach 1:
Spatial cue information is extracted from the original multi-channel audio signal during encoding and transmitted separately as metadata alongside the down-mixed audio. This extraction preserves spatial information that would otherwise be lost in down-mixing, enabling accurate spatial rendering at the decoder.
Solution Approach 2:
Instead of transmitting full multi-channel signals, the system transmits a compact down-mixed audio signal combined with copied spatial cue parameters. These parameters serve as a digital copy of the spatial positioning information, allowing high-fidelity spatial reconstruction from the down-mixed signal without requiring high bandwidth.
Data Source
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AI summary
The present research relates to controlling rendering of multi-object or multi-channel audio signals. The present research provides a method and apparatus for controlling rendering of multi-object or multi-channel audio signals based on spatial cues in a process of decoding the multi-object or multi-channel audio signals. To achieve the purpose, the method suggested in the research controls rendering in a spatial cue domain in the process of decoding the multi-object or multi-channel audio signals.