Multi-Channel Audio Dropout Concealment via Spectral Filtering
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Solution Overview
Problem
Wireless audio signal transmission is prone to digital losses and signal dropouts due to environmental influences, leading to degradation in signal quality and perceptible delays, which existing technologies struggle to effectively compensate for, especially in multi-channel arrangements.
Innovation Solution
A method that maps signals into the frequency domain to derive spectral filter coefficients from error-free channels, allowing for the generation of a replacement signal during dropouts, utilizing these coefficients to create a substitution signal that improves signal quality by leveraging interoperability between channels without relying on phase data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless transmission of audio signals is used in multi-channel arrangements, then interoperability and metadata transmission are improved, but digital losses and signal dropouts occur due to environmental influences
Solution Approach 1:
The system pre-calculates and stores filter coefficients during error-free transmission periods. When a dropout occurs, these pre-computed coefficients enable immediate generation of replacement signals without waiting for coefficient calculation, thus maintaining reliability while preserving interoperability benefits.
Solution Approach 2:
The patent introduces spectral filter coefficients as an intermediary element that couples multiple channels. These coefficients capture the relationship between channels and enable cross-channel information transfer, allowing the system to compensate for dropouts using other channels while maintaining the multi-channel interoperability structure.
2Reliability
If compensation methods are applied to degrade signal quality, then signal quality improvement is achieved, but perceptible delays are introduced
Solution Approach 1:
Filter coefficients are calculated and stored in advance during error-free transmission. This preliminary action eliminates the need for real-time coefficient computation during dropouts, significantly reducing the time delay while still providing effective signal quality compensation through pre-prepared replacement signals.
Solution Approach 2:
The system creates substitution signals by filtering substitution channel data with pre-computed coefficients rather than attempting to reconstruct the original signal in real-time. This copying approach using alternative channel data provides sufficient quality compensation with minimal processing delay.
3Reliability
If replacement signals are generated using error-free channels, then dropout concealment effectiveness is improved, but system complexity increases
Solution Approach 1:
Spectral filter coefficients serve as a compact intermediary representation that captures complex inter-channel relationships. Instead of implementing complex real-time analysis of multiple channels, the system uses these pre-computed coefficients to simplify the replacement signal generation process while maintaining high dropout concealment effectiveness.
Solution Approach 2:
The patent transforms the complex multi-channel signal relationship into a set of spectral filter coefficients in the frequency domain. This parameter transformation simplifies the processing by converting complex time-domain signal relationships into manageable frequency-domain parameters that can be stored and applied efficiently.
Data Source
AI summary
A method conceals dropouts in one or more audio channels of a multi-channel arrangement. The method maps transmitted signals into a frequency domain during an error-free signal transmission of two or more channels. A magnitude spectra and spectral filter coefficients are derived. The spectral filter coefficients relate the magnitude spectrum of the audio channel to the magnitude spectrum of at least one other channel. When a dropout occurs, a replacement signal is generated through the filter coefficients and a substitution signal. The filter coefficients may be generated prior to the detection of the dropout.