Crosstalk Cancellation Using Interference Signal Estimation
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Solution Overview
Problem
Existing sound source separation devices require significant computational resources to calculate separation matrices, making it challenging to effectively reduce crosstalk between voice signals collected from multiple microphones.
Innovation Solution
A sound source separation device that employs first and second crosstalk cancellers to estimate and remove interference signals from voice signals, using adaptive filters and independent component analysis to separate individual voice signals without the need for large computational matrices, thereby reducing crosstalk using smaller hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If separation matrices are calculated to reduce crosstalk, then crosstalk reduction effectiveness is improved, but computational resource requirements increase
Solution Approach 1:
The patent divides the crosstalk cancellation process into multiple stages: first calculating separation matrices for individual microphone pairs, then combining these partial results. This segmentation allows the complex full-matrix calculation to be broken down into smaller, more manageable sub-calculations, reducing overall computational burden while maintaining crosstalk reduction effectiveness
Solution Approach 2:
The patent performs preliminary calculations of separation matrices for individual microphone pairs before combining them into the final separation result. By pre-calculating these intermediate matrices and storing them, the system avoids redundant computations when processing multiple microphone signals, thereby reducing total computational resource requirements
2Measurement precision
If separation matrices are calculated to separate voice signals, then signal separation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the signal separation task into multiple independent calculations for different microphone pairs, each producing a partial separation matrix. These segmented calculations can be performed by simpler, distributed processing units rather than requiring a single complex high-performance processor, thus reducing individual device complexity while maintaining overall separation accuracy
Solution Approach 2:
The patent introduces intermediate separation matrices as mediators between the raw microphone signals and the final separated output. These intermediate matrices serve as computational bridges that simplify the overall transformation process, allowing the system to achieve accurate signal separation through a series of simpler linear transformations rather than requiring a single complex operation
Data Source
AI summary
A sound source separation device includes a first microphone that picks up a first voice, a second microphone that picks up a second voice, a first crosstalk canceller that removes, from a voice signal of the first microphone, first crosstalk caused when the second voice is picked up by the first microphone, and a second crosstalk canceller that removes, from a voice signal of the second microphone, second crosstalk caused when the first voice is picked up by the second microphone. The first crosstalk canceller uses a voice signal in which the second crosstalk is removed from the voice signal of the second microphone to estimate and calculate a first interference signal indicative of a degree of the first crosstalk, and to remove the calculated first interference signal from the voice signal of the first microphone. The second crosstalk canceller uses a voice signal in which the first crosstalk is removed from the voice signal of the first microphone to estimate and calculate a second interference signal indicative of a degree of the second crosstalk, and to remove the calculated second interference signal from the voice signal of the second microphone.