Object Extraction Feedback for Artifact-Free Channel Audio Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing audio processing systems struggle to convert traditional channel-based audio content, such as 5.1 or 7.1 surround sound, into a channel- and object-based format efficiently, often introducing artifacts and inaccuracies in the automatic object extraction and ambience upmixing process, necessitating manual intervention by audio engineers.
Innovation Solution
An audio processing system comprising a control module, adaptive post-processing module, and modification module to automatically convert channel-based audio to object-based audio, using signal processing techniques to extract and modify audio objects and bed channels, and evaluate them for discontinuities and artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated techniques are used to extract objects and bed channels from traditional mixes, then productivity is improved, but manufacturing precision deteriorates due to artifacts and inaccurate estimations
Solution Approach 1:
The system implements a feedback mechanism where the rendered audio signal is compared with the original channel-based audio signal to generate a detection score. This feedback loop enables the automated system to identify and correct artifacts and inaccuracies, thereby maintaining high audio quality while preserving productivity benefits.
Solution Approach 2:
The system performs preliminary evaluation of the extracted audio objects and bed channels by generating a detection score before final rendering. This preliminary action allows the system to identify potential artifacts and inaccuracies early in the process and apply corrections proactively.
2Productivity
If automated rendering tools are used to modify or upmix extracted audio objects and bed channels, then productivity is improved, but manufacturing precision deteriorates due to introduced artifacts
Solution Approach 1:
The system uses feedback by comparing the rendered audio signal with the original channel-based audio signal to generate a detection score. This comparison enables the automated rendering tool to identify introduced artifacts and apply corrections, maintaining audio quality while preserving productivity.
Solution Approach 2:
The system applies preliminary anti-action by generating a detection score that identifies potential artifacts before they become problematic. The correction process then applies counter-actions to eliminate these artifacts, preventing quality degradation while maintaining automated efficiency.
3Manufacturing precision
If traditional manual evaluation and manipulation methods are used, then manufacturing precision is improved, but productivity deteriorates due to extensive manual intervention required
Solution Approach 1:
The system implements self-service by enabling automated evaluation and correction of audio artifacts through the detection score mechanism. The system independently identifies and corrects issues without requiring extensive manual intervention, thereby maintaining high audio quality while significantly improving productivity.
Solution Approach 2:
The system replaces the mechanical manual evaluation and manipulation process with an automated electronic system that generates detection scores and applies corrections automatically. This substitution eliminates the need for extensive manual intervention while preserving audio quality, thereby improving productivity.
4Productivity
If automated object extraction is performed, then productivity is improved, but reliability deteriorates due to inaccurate estimations
Solution Approach 1:
The system implements feedback by generating a detection score that compares the extracted audio objects and bed channels with the original channel-based audio signal. This feedback mechanism enables the system to identify inaccurate estimations and apply corrections, thereby maintaining high extraction accuracy while preserving productivity benefits.
Data Source
AI summary
A method of audio processing includes generating a detection score based on the partial loudnesses of a reference audio signal, extracted audio objects, extracted bed channels, a rendered audio signal and a channel-based audio signal. The detection score is indicative of an audio artifact in one or more of the audio objects and the bed channels. The extracted audio objects and extracted bed channels may be modified, in accordance with the detection score, to reduce the audio artifact.


