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dc.contributor.authorChen, Yi-Tingen_US
dc.contributor.authorChen, Tzu-Haoen_US
dc.contributor.authorHuang, Mao-Changen_US
dc.contributor.authorChi, Tai-Shihen_US
dc.date.accessioned2018-08-21T05:56:50Z-
dc.date.available2018-08-21T05:56:50Z-
dc.date.issued2016-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146707-
dc.description.abstractWe have proposed a spatial-cue based binaural noise reduction algorithm for hearing aids. However, in that algorithm, decision parameters are empirically selected. In this paper, we extend the work and propose a supervised classification algorithm for binaural speech enhancement/separation and dereverberation using a modified ideal binary mask (mIBM) as the training target and simple neural networks (NNs) as classifiers. The low complexity of the simple NNs makes the proposed algorithm practical for binaural hearing aids. The interaural time difference (ITD) and the interaural level difference (ILD) of each T-F unit are extracted as the basic binaural features. For the purpose of dereverberation, the interaural coherence (IC) is also considered when building the target mIBM and training the NNs. For separation evaluations, our method yields comparable performance to a more complicated benchmark system, which cannot de-reverb the signal. For concurrent separation and dereverberation, our method offers 4 to 5 dB improvement on the frequencyweighted segmental speech-to-noise ratio (SNRfw) over unprocessed speech.en_US
dc.language.isoen_USen_US
dc.subjectBinaural speech separationen_US
dc.subjectdereverberationen_US
dc.subjectneural networken_US
dc.subjectITDen_US
dc.subjectILDen_US
dc.subjectcoherenceen_US
dc.titleInteraural Coherence Induced Ideal Binary Mask for Binaural Speech Separation and Dereverberationen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 10TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP)en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000405610900054en_US
Appears in Collections:Conferences Paper