Sound Source Separation via Adaptive Signal Suppression
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Solution Overview
Problem
Existing sound source separation methods fail to achieve clear signal separation in diverse environments due to insufficient noise reduction and signal quality requirements.
Innovation Solution
A sound system comprising a microphone array, sound source localization, signal generation, suppression, and back-end modules, which identifies and suppresses non-maximum sound source signals based on amplitude, improving separation performance through adaptive suppression values less than 1.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sound source separation methods are used, then the system structure remains simple, but the signal separation clarity is insufficient
Solution Approach 1:
The patent divides the sound source separation process into distinct functional modules: sound source localization module, sound source signal generating module, sound source suppression module, and back-end module. Each module performs a specific function in the signal processing chain, enabling clearer separation while maintaining organized system structure.
Solution Approach 2:
The sound source localization module performs preliminary identification of sound source positions before signal generation. The sound source suppression module then applies suppression values to non-maximum sound source signals before back-end processing, preparing the signals in advance for final separation to improve clarity.
2Measurement precision
If all sound source signals are processed equally, then the processing is simple, but the separation performance is poor
Solution Approach 1:
The sound source suppression module applies different processing to different sound source signals based on their characteristics. Maximum sound source signals are preserved while non-maximum signals are multiplied by suppression values less than 1, creating localized quality differences that improve separation performance.
Solution Approach 2:
The patent changes the amplitude parameter of sound source signals by applying suppression values (multiplication factors less than 1) to non-maximum sound source signals. This parameter modification enhances the distinction between different sound sources, improving separation performance.
3Reliability
If noise reduction processing is applied, then signal quality improves, but the system complexity increases
Solution Approach 1:
The patent extracts and suppresses non-maximum sound source signals from the mixed signal using the sound source suppression module. By separating and selectively suppressing specific signal components, the system improves signal quality while maintaining a manageable processing structure.
Data Source
AI summary
A sound source separation method, applied in a sound system, is provided. The method comprises choosing a maximum sound source signal and at least a non-maximum sound source signal from a plurality of sound source signals; multiplying the at least a non-maximum sound source signal by at least a suppression value, to generate at least a suppressed sound source signal; and performing a back-end sound source extraction operation on the maximum sound source signal and the at least a suppressed sound source signal.