Speech enhancement ini-vector speaker verification system

To solve the model-mismatch problem in text-independent speaker verification system when training environment differs from recognition environment,We propose a i-vector speaker verification system using speech enhancement in front-end preprocessing it can improve the system robustness to additive noise.To estimate the performance of different speech enhancement methods,we used NIST08 core test set in the experiment.Four speech enhancement methods,including wiener filtering,MMSE-LSA,traditional spectral subtraction and multi-band spectral subtraction,combining with IMCRA noise estimation,were evaluated in the speaker verification system based on i-vector.The result shows the proposed system with speech enhancement had some improvement in noise environment and that multi-band spectral subtraction method performed the best when SNR was relatively high and MMSE-LSA performed the best when SNR was low