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Paper Details
Paper Title
Minimization of Noise in Speech Signal Using Mel-Filter
Authors
  Y.Lakshmi Manasa,  P.Rama Krishna
Abstract
Speech signals are usually processed in digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signal. The noise signal does not affect uniformly the speech signal over the whole spectrum .In order to deal with speech improvement in such situations a new spectral subtraction algorithm is proposed for reducing noise from noise corrupted speech. The spectrum is divided into frequency sub-bands based on a nonlinear multi band bark scale.Mel-Filter is the most optimal technique in order to reduce noise in the speech signal.
Keywords- Speech Signal, Noise Reduction, Mel filter,SNR.
Publication Details
Unique Identification Number - IJEDR1702231Page Number(s) - 1477-1480Pubished in - Volume 5 | Issue 2 | May 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Y.Lakshmi Manasa,  P.Rama Krishna,   "Minimization of Noise in Speech Signal Using Mel-Filter", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1477-1480, May 2017, Available at :http://www.ijedr.org/papers/IJEDR1702231.pdf
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