Audio Signal Dynamic Matching Using Frequency-Domain Power Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current techniques lack effective methods for matching the dynamic properties of source signals to those of target signals, particularly in audio processing, which is economically challenging when applying such techniques to multiple language variants of audio files in video games.
Innovation Solution
A signal processing method that compares the frequency domain representations of power values for source and target signals, generates a modification indication, and applies it to the source signal to align its dynamic behavior with the target signal, using comparator and transform circuitry to achieve this alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional audio mixing techniques are used to match dynamic properties of source signals to target signals, then the spectral conformity can be achieved, but the process becomes economically unviable when applied to multiple language variants
Solution Approach 1:
The patent extracts only the essential dynamic properties (envelope characteristics) from the target audio signal rather than performing complete spectral matching. By isolating and transferring only the necessary dynamic features through frequency domain comparison and inverse transformation, the system achieves sufficient spectral conformity without the computational burden of full audio mixing, making it economically viable for processing multiple language variants.
Solution Approach 2:
The patent performs preliminary frequency domain analysis to generate modification indications before applying them to the source signal. By pre-computing the frequency domain representations of both source and target signals, calculating the differences, and preparing the modification indications in advance, the system streamlines the processing pipeline and reduces the computational complexity required during actual signal transformation, thereby improving economic efficiency.
2Manufacturing precision
If extensive audio mixing efforts are applied to match dynamic properties, then the dynamic behavior alignment improves, but the processing complexity and cost increase significantly
Solution Approach 1:
The patent replaces traditional time-domain audio mixing operations with frequency domain processing. By transforming the audio signals to the frequency domain, computing the differences in power spectra, and then applying inverse transformations to generate modification indications, the system substitutes complex mechanical mixing operations with more efficient mathematical transformations, reducing processing complexity while maintaining dynamic behavior alignment.
Solution Approach 2:
The patent changes the representation parameters of the audio signals from the time domain to the frequency domain. By analyzing power spectra at different frequencies and comparing these parameter representations between source and target signals, the system identifies specific frequency components that need modification. This parameter transformation enables precise control over dynamic behavior alignment without requiring extensive mixing operations.
Data Source
AI summary
A signal processing method comprises comparing a first frequency domain representation of a sequence of power values for respective windows of source input samples of a source input signal with a second frequency domain representation of a sequence of power values for respective windows of target input samples of a target input signal so as to generate a frequency domain difference representation; inverse-frequency-transforming the frequency domain difference representation to generate a modification indication; and applying the modification indication to the source input samples to generate respective output samples of an output signal.