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dc.contributor.authorHsu, Chung-Chienen_US
dc.contributor.authorLin, Ting-Hanen_US
dc.contributor.authorChi, Tai-Shihen_US
dc.date.accessioned2014-12-08T15:20:53Z-
dc.date.available2014-12-08T15:20:53Z-
dc.date.issued2011en_US
dc.identifier.isbn978-1-4577-0539-7en_US
dc.identifier.issn1520-6149en_US
dc.identifier.urihttp://hdl.handle.net/11536/14863-
dc.description.abstractThe concept of the two-dimensional spectro-temporal modulation filtering of the auditory model [1] is implemented for the FFT spectrogram. It analyzes the spectrogram in terms of the temporal dynamics and the spectral structures of the sound. The overlap and add (OLA) method, which is more convenient and reliable than the iterative-projection method proposed in [1], is used to invert the FFT spectrogram back to sounds. The Non-Negative Sparse Coding (NNSC) method is adopted to demonstrate the benefit of our analysis-synthesis procedures in a noise suppression application. Even without fine-tuning parameters, our proposed analysis-synthesis procedures offer benefits in de-noising especially under low SNR conditions.en_US
dc.language.isoen_USen_US
dc.subjectspectro-temporal modulation filteringen_US
dc.subjectspeech analysisen_US
dc.subjectnoise suppressionen_US
dc.subjectspeech enhancementen_US
dc.titleFFT-BASED SPECTRO-TEMPORAL ANALYSIS AND SYSTNESIS OF SOUNDSen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSINGen_US
dc.citation.spage5388en_US
dc.citation.epage5391en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000296062406024-
Appears in Collections:Conferences Paper