Monaural Speech Segregation Based on Pitch Tracking and ...

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Initial <strong>Segregation</strong>• Units with some response energy and highcross channel correlation are considerA c m C c m2H( , ,0) > θH; H( , ) > θc; θH = 50; θc= 0.985• Segments Shorter then 30 ms removed• Segmentation on this point for unresolvedunits are very small10
Initial Grouping• Segments are grouped into to streams:0S F0S Fwhich corresponding to target speechwhich corresponding with intrusion• Segments that probably consist of units thatat least half of them agrees with dominant0pitch at each frame correspond to S F• Segmantation follows by the criteria:AH(, c m, τD( m))> θP; θP= 0.95A (, c m, τ (, c m))HP11
Page 1 and 2: Monaural S
Page 3 and 4: Introduction• Speech</str
Page 5: Definitions(cont.)• Low-order har
Page 8 and 9: Model Overview(cont.)Auditory Featu
Page 12 and 13: Illustration12
Page 14 and 15: Unit Labeling• Now we compute the
Page 16 and 17: Labaling Unresolve Harmonics• The
Page 18 and 19: Final Segragation• Segments corre
Page 20 and 21: Results and Comparison• SNR Crite
Page 22 and 23: Ideal Binary Mask Criteria• Ideal
Page 24 and 25: Results24
Page 26 and 27: Summary• This Model applies diffe

Monaural Speech Segregation Based on Pitch Tracking and ...

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