A Coherence Based Dual-Microphone Speech Enhancement in Diffuse Noise Field
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: 1667-1669 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6216018520/2020©BEIESP | DOI: 10.35940/ijrte.E6216.018520
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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 recent years, the problem of improving the quality of noisy signal has always been a dilemma, challenging scientists; especially in diffuse noise conditions. There has been great and growing interest in dual-microphone processing for hands-free speech enhancement. In this paper, the author addresses a improvement of coherence based filter in diffuse noise field. Explicit information about speech presence or absence is necessary in many speech processing applications. The proposal algorithm uses a soft speech presence probability as an optimal parameter to process noisy signal in diffuse noise condition. The evaluation proves that, speech application dual-microphone can be incorporated with this efficiency algorithm for pre-processing.
Keywords: Coherence Function, Speech Presence Probability, Microphone Array, Dual-Microphone, Diffuse Noise, Filter, Speech Enhancement.
Scope of the Article: Probabilistic Models and Methods.