Dual-Channel Speech Enhancement Based On Speech Presence Probability
Quan Trong The
Quan Trong The, Department of Information Technologies and Programming, University ITMO, Saint-Petersburg, Russian Federation.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 25, 2019. | Manuscript published on January 10, 2020. | PP: 2198-2200 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8796019320/2020©BEIESP | DOI: 10.35940/ijitee.C8796.019320
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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: This paper introduces technology to improve sound quality, which serves the needs of media and entertainment. Major challenging problem in the speech processing applications like mobile phones, hands-free phones, car communication, teleconference systems, hearing aids, voice coders, automatic speech recognition and forensics etc., is to eliminate the background noise. Speech enhancement algorithms are widely used for these applications in order to remove the noise from degraded speech in the noisy environment. Hence, the conventional noise reduction methods introduce more residual noise and speech distortion. So, it has been found that the noise reduction process is more effective to improve the speech quality but it affects the intelligibility of the clean speech signal. In this paper, we introduce a new model of coherence-based noise reduction method for the complex noise environment in which a target speech coexists with a coherent noise around. From the coherence model, the information of speech presence probability is added to better track noise variation accurately; and during the speech presence and speech absent period, adaptive coherence-based method is adjusted. The performance of suggested method is evaluated in condition of diffuse and real street noise, and it improves the speech signal quality less speech distortion and residual noise.
Keywords: Microphone Array, Noise Reduction, Dual-Microphone, Speech Presence Probability, Coherence, Filter, Speech Enhancement.
Scope of the Article: Microwave Filter