Speech Enhancement System Design Based on FastICA Blind Source Separation Algorithm
LIU Hongmei
Abstract：Based on analyzing the drowbacks of troditional algorithm of existing speech enhancement system, a speech enhancement algorithm is proposed based on FastICA blind source separation algorithm design, and it is transplanted to embedded speech enhancement system.The system has real-time speech enhancement, four element microphone array is used to sample the space of sound signal and the built-in speech enhancement algorithm is used to separate the voice source signal and noise source signal, 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.
Keywords：blind source separation algorithmspeech enhancement systemactive noisenoise suppression
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 482-486 )