Speech enhancement system design is based on FastICA blind source separation algorithm
DOI:
https://doi.org/10.54097/hset.v7i.997Keywords:
Blind source separation algorithm, Speech enhancement system, Active noise and noise suppressionAbstract
Based on the analysis of existing speech enhancement based on the drawbacks of the traditional algorithm is adopted in the system is proposed based on FastICA blind source separation algorithm design of speech enhancement algorithm, and the transplanted to embedded speech enhancement system. The system real-time speech enhancement, by four element microphone arrays is used to sample the space of sound signal and through the built-in speech enhancement algorithm to the voice source signal and noise source signal separation, capable of suppressing co channel noise, active noise and residual background noise. Based on the test results of the algorithm on PC platform, the system meets the design requirements and the effect is good.
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