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Further it has been investigated that VMD outperforms EMD due to its self-optimization methods as well as adaptively using Wiener filter. It is shown in the result section. Different noise levels as 0dB, 5dB, 10dB and 15dB are considered for input signal.<\/jats:p>","DOI":"10.4018\/ijncr.2017010102","type":"journal-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T14:10:48Z","timestamp":1503929448000},"page":"17-35","source":"Crossref","is-referenced-by-count":19,"title":["Comparative Analysis of EMD and VMD Algorithm in Speech Enhancement"],"prefix":"10.4018","volume":"6","author":[{"given":"Rashmirekha","family":"Ram","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering, Siksha \u2018O' Anusandhan University, Bhubaneswar, India"}]},{"given":"Mihir Narayan","family":"Mohanty","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Siksha \u2018O' Anusandhan University, Bhubaneswar, India"}]}],"member":"2432","reference":[{"key":"IJNCR.2017010102-0","doi-asserted-by":"crossref","unstructured":"Aneesh, C., Kumar, S., Hisham, P.M., & Soman, K.P. 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