A Speech Enhancement MVDR Algorithm in Diffuse Noise Field
Quan Trong The
SQuan Trong The, Department of Information Technologies and Programming, University ITMO, Saint-Petersburg, Russian Federation.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2309-2311 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8798019320/2020©BEIESP | DOI: 10.35940/ijitee.C8798.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The minimum variance distortionless response (MVDR) beamformer often used in speech application for separating sound source and suppressing ambient, coherent, stationary and non-stationary noise in real complex environment. This paper deals problem speech enhancement in diffuse noise field by using a modified MVDR, which incorporates speech presence probability to estimate auto and cross power spectral densities. This combination gives the advantage of saving target speaker while suppressing background noise. A efficiency post-filtering, which is a function depends on speech presence probability, used for increasing the quality of filtered signal. The performance evaluation demonstrates the ability of proposal algorithm when compared to conventional MVDR.
Keywords: Speech Presence Probability, Noise Reduction, Dual-microphone, Speech Enhancement, Post-filtering, Filter, Microphone Array, Minimum Variance Distortionless Response
Scope of the Article: Algorithm Engineering