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        <identifier>oai:meral.edu.mm:recid/2685</identifier>
        <datestamp>2022-03-24T23:14:43Z</datestamp>
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          <dc:title>A Frequency-selective Noise Spectral Subtraction Approach</dc:title>
          <dc:creator>Thiri Thandar Aung</dc:creator>
          <dc:creator>Tangsangiumvisai2, N.</dc:creator>
          <dc:creator>Nishihara, A.</dc:creator>
          <dc:description>In this paper, a new approach for frequency-selective&#13; noise spectral subtraction is proposed, based on the Magnitude&#13; Spectral Subtraction (MSS) technique and the two-channel&#13; Generalized Sidelobe Canceller (GSC) for noise spectrum&#13; estimation. A comparison of the proposed and the conventional&#13; noise spectral subtraction techniques is given, based on computer&#13; simulations, in terms of noise attenuation performance and the&#13; ability to avoid speech distortion. Simulation results clarify that&#13; less amount of speech distortion is obtained whereas higher noise&#13; attenuation can be achieved, as compared to the conventional&#13; noise spectral subtraction technique.</dc:description>
          <dc:date>2010</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000002685</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/2685</dc:identifier>
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