Comparing DMS with Algorithms and Distances between Microphones. - Islam, Ariful;Nitu, Shafinaz Shahjahan
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Recent days, speech quality is one of the most important factors in mobile communication and the quality depends on Signal-to-Noise Ratio (SNR) improvement. Dual Microphone System (DMS) can recover a speech from noisy environment with the help of different algorithms. This paper contributes to reduce babble speech noise by developing the dual microphone system with two Omni-directional microphones for close talk handset mode in mobile phone. It can also find out the position of microphones in a mobile. This system is successfully compressed the babble noise and improve the quality of speech.

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Produktbeschreibung
Recent days, speech quality is one of the most important factors in mobile communication and the quality depends on Signal-to-Noise Ratio (SNR) improvement. Dual Microphone System (DMS) can recover a speech from noisy environment with the help of different algorithms. This paper contributes to reduce babble speech noise by developing the dual microphone system with two Omni-directional microphones for close talk handset mode in mobile phone. It can also find out the position of microphones in a mobile. This system is successfully compressed the babble noise and improve the quality of speech.
Autorenporträt
Dr. Ariful Islam is a nutritional biologist working as Assistant Professor, Department of Pharmacy, University of Rajshahi, Bangladesh. He obtained his graduation in Pharmacy, at Rajshahi University and completed PhD in medical sciences at Yamaguchi University School of Medicine, Japan.