Differences Amplitude Based Improvement of Minimum Variance Distortionless Response Filter
Quan Trong The
Quan Trong The*, Information Technologies and Programming Faculty, ITMO University, Saint-Petersburg, Russian-Federation.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1635-1637 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6151018520/2020©BEIESP | DOI: 10.35940/ijrte.E6151.018520
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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: In this work, the author introduces a new technique for improving the performance of minimum variance distortionless response filter in condition of coherent noise. The proposal algorithm exploits a priori information of differences amplitude to balance power spectral densities of observed noisy signals. The output signal of MVDR filter is then processed by an additional post-filtering, which based speech presence probability to suppress more noise interference and increase quality speech. In experiments using two noisy signal recordings in anechoeic room, the modified MVDR-filter results provides that the suggested algorithm increases speech quality compared to the conventional MVDR filter.
Keywords: Differences Amplitude, Microphone Array, Dual-Microphone, Speech Enhancement, Minimum Variance Distortionless Response, Post-Filtering, Speech Presence Probability.
Scope of the Article: Signal and Speech Processing.