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Home / programming language / Online Matlab Projects / Online Speech Dereverberation Using Kalman Filter and EM Algorithm
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Online Speech Dereverberation Using Kalman Filter and EM Algorithm

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SKU: PROJ5806 Categories: 2016 Projects, 2015 Projects, Digital Image Processing Projects, Final Year Projects, Online Matlab Projects Tags: academic projects, Android project 2013-2014, Android project 2015-2016, Android project Abstract, Android project list, btech projects, dotnet project 2013-2014, dotnet project 2015-2016, dotnet project Abstract, dotnet project list, elysium technologies abstract, elysium technologies chennai, elysium technologies coimbatore, elysium technologies company, elysium technologies courses, elysium technologies erode, elysium technologies inpant traning, elysium technologies internship, elysium technologies jobs, elysium technologies madurai, elysium technologies mou, elysium technologies pondychery, elysium technologies projectlist, elysium technologies projects, elysium technologies ramnad, elysium technologies salem, elysium technologies software, elysium technologies tirunelveli, elysium technologies trichy, Final Year Projects, java projects 2013-2014, java projects 2015-2016, java projects Abstract, madurai software company, matlab project 2013-2014, matlab project 2015-2016, matlab project Abstract, matlab project list, mtech projects, phd research work, Php project 2013-2014, Php project 2015-2016, Php project Abstract, Php project list, Power Electronic project 2013-2014, Power Electronic project 2015-2016, Power Electronic project Abstract, Power Electronic project list, project center Bangalore, project center chennai, project center coimbatore, project center Erode, project center Hyderabad, project center Kollam, project center madurai, project center Pandicherry, project center ramnad, project center Salem, project center Tiruneveli, project center trichy, research center, Students Projects, Vlsi project 2013-2014, Vlsi project 2015-2016, Vlsi project Abstract, Vlsi project list
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Online Speech Dereverberation Using
Kalman Filter and EM Algorithm

Abstract— Online Speech Dereverberation Using Kalman Filter and EM Algorithm. Speech signals recorded in a room are commonly degraded by reverberation. In most cases, both the speech sign a land the acoustic system of the room are unknown and time-varying. In this paper, a scenario with a single desired sound source and lowly time-varying and spatially white noise is considered, and a multi-microphone algorithm that simultaneously estimates the clean speech signal and the time-varying acoustic system is proposed. The recursive ex pectation-maximization scheme is employed to obtain both the clean speech signal and the acoustic system in an online manner. In the expectation step, the Kalman filter is applied to extract a new sample of the clean signal, and in the maximization step, the system estimate is updated according to the output of the Kalman filter. Experimental results show that the proposed method is able to < Final Yeat Projcts 2016 > significantly reduce reverberation and increase the speech quality. Moreover, the tracking ability of the algorithm was validated in practical scenarios using human speakers moving in a natural manner.

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