3D Audio Engine Control via Feature-Based Parameter Selection
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Solution Overview
Problem
Existing technologies for generating 3D audio streams struggle to effectively control the generation of immersive audio experiences based on non-3D audio streams, such as stereo or mono audio streams.
Innovation Solution
The method involves accessing an audio stream, determining a feature value associated with the stream, selecting 3D control parameters from a set based on the feature value, and generating a 3D audio stream using these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spatial domain convolution using HRTFs is used to transform sound waves, then the listener can perceive sound sources in different three-dimensional locations, but the system cannot effectively control the generation of 3D audio based on non-3D audio stream content
Solution Approach 1:
The system analyzes features extracted from the non-3D audio stream (such as spectral characteristics, temporal patterns, or content metadata) and uses this feedback to dynamically select and adjust 3D control parameters. This closed-loop approach enables the system to adaptively generate 3D audio that reflects the content characteristics of the input stream, resolving the contradiction between adaptability and complexity by making the complexity controllable and content-driven rather than arbitrary.
Solution Approach 2:
The system transforms the non-3D audio stream into 3D audio by dynamically changing control parameters such as spatial position, elevation, azimuth, and temporal characteristics. By mapping audio content features to parameter transformations, the system achieves versatile 3D audio generation from simple non-3D inputs without requiring complex manual control mechanisms.
2Reliability
If head-related transfer functions are used to transform sound waves, then immersive audio experience is achieved, but the system lacks control over the generation process based on original audio content
Solution Approach 1:
The system performs self-adjustment by automatically analyzing the input audio stream and selecting appropriate 3D control parameters without requiring manual user intervention. The automated feature extraction and parameter selection processes enable the system to maintain high-quality immersive audio while simplifying operation, as users simply provide non-3D audio input without needing to configure complex spatial parameters.
Data Source
AI summary
A system for and a method of controlling generation of a 3D audio stream are disclosed. The method comprises accessing an audio stream; determining a value of a feature associated with the audio stream; selecting one or more 3D control parameters from a set of 3D control parameters, the selecting being based on the value of the feature associated with the audio stream; and generating the 3D audio stream based on the selected one or more 3D control parameters. In some embodiments, the feature is a metric associated with a frequency distribution of correlations of the audio stream.


