About: Separation of Acoustic Signal Sources.     Goto   Sponge   NotDistinct   Permalink

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  • This paper deals with single-channel speech extraction from noise. The universal gain function is defined, which can be used for different kinds of spectral subtraction. Subsequently, three basic methods of spectral subtraction are compared – the basic method of spectral subtraction, the nonlinear spectral subtraction and the spectral subtraction using the human ear masking characteristics.
  • This paper deals with single-channel speech extraction from noise. The universal gain function is defined, which can be used for different kinds of spectral subtraction. Subsequently, three basic methods of spectral subtraction are compared – the basic method of spectral subtraction, the nonlinear spectral subtraction and the spectral subtraction using the human ear masking characteristics. (en)
Title
  • Separation of Acoustic Signal Sources.
  • Separation of Acoustic Signal Sources. (en)
skos:prefLabel
  • Separation of Acoustic Signal Sources.
  • Separation of Acoustic Signal Sources. (en)
skos:notation
  • RIV/00216305:26220/02:PU30951!RIV11-MSM-26220___
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  • V, Z(MSM 262200011)
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  • 663320
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  • RIV/00216305:26220/02:PU30951
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  • separative methods, spectral subtraction, noise-masking threshold, subtraction parameter (en)
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  • [252998712ADA]
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  • Brno
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  • Brno, Czech Republic
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  • Proceedings of International Conference Telecommunications and Signal Processing 2002, TSP2002
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  • Poruba, Jiří
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  • Neuveden
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  • 80-214-2172-X
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  • 26220
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