Distance-Guided Pre-Separation for Blind Source Separation
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Solution Overview
Problem
Current sound source separation technologies, particularly blind source separation algorithms, fail to effectively distinguish speech signals from sound sources at different distances, leading to poor sound source separation performance.
Innovation Solution
A speech signal processing method that involves pre-separating speech observation signals into distinct signals based on distance to guide blind source separation, using a pre-separation model trained through deep learning to differentiate between close-range and long-range sound sources, thereby improving the separation of source speech signals from sound sources at different distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blind source separation algorithm is used, then sound source separation can be performed, but speech signals from sound sources at different distances cannot be effectively distinguished
Solution Approach 1:
The patent segments the speech observation signal into multiple speech feature signals based on different distance characteristics. By dividing the mixed signal into distance-based components, the system can separately process and identify speech signals from different ranges, thereby resolving the inability to distinguish distance-based speech sources in traditional blind source separation
Solution Approach 2:
The patent performs preliminary separation of the speech observation signal into speech feature signals before applying blind source separation. This pre-processing step organizes the mixed signal according to distance characteristics, enabling the subsequent blind source separation to effectively distinguish speech sources at different distances
Data Source
AI summary
A speech signal processing method includes: acquiring a speech observation signal collected by a speech collection device; pre-separating the speech observation signal to obtain a first pre-separation signal and a second pre-separation signal, wherein a first distance between a sound source of the first pre-separation signal and the speech collection device is different from a second distance between a sound source of the second pre-separation signal and the speech collection device; and performing blind source separation on the speech observation signal according to the first pre-separation signal to obtain a first source speech signal of the sound source of the first pre-separation signal; and performing blind source separation on the speech observation signal according to the second pre-separation signal to obtain a second source speech signal of the sound source of the second pre-separation signal.