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Speech Enhancement Algorithms with Adaptive Methods

Volume 15, Number 5, May 2019, pp. 1462-1471
DOI: 10.23940/ijpe.19.05.p23.14621471

Chunli Wanga, Peiyi Yanga, Quanyu Wanga, Lili Niua, and Huaiwei Lub

aSchool of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China
bSchool of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, 730070, China

 

(Submitted on December 13, 2018; Revised on January 14, 2019; Accepted on February 17, 2019)

Abstract:

Due to the multipath reflection in adaptive beamforming, it is likely that target signals are leaked and speeches are distorted, reducing the auditory effect. The transfer function generalized sidelobe canceller (GSC) uses the transfer function ratio to construct a block matrix that minimizes leaking target signals. However, the inhibitory effect to reverberations outside the beam direction is insignificant. In light of this, we developed a de-reverberation algorithm according to the transfer function GSC and minimum-phase decomposition, which was proven to be strongly adjustable to the environment. Speeches that were double processed by the spatial domain and the complex ceptrum domain could approach the noise-free state. In addition, we simulated the de-reverberated speech waveforms and their effects with subjective and objective evaluation indices, verifying the positive effect of the optimization algorithm in de-reverberation and increasing resolution.

 

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