Cemil Demir

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—In this study, we describe a mixture model based single-channel speech-music separation method. Given a catalog of background music material, we propose a generative model for the superposed speech and music spectrograms. The background music signal is assumed to be generated by a jingle in the catalog. The background music component is modeled by a scaled(More)
In this study, we propose a semi-supervised speech-music separation method which uses the speech, music and speech-music segments in a given segmented audio signal to separate speech and music signals from each other in the mixed speech-music segments. In this strategy, we assume, the background music of the mixed signal is partially composed of the(More)
In this study, we analyze the effect of the catalog-based single-channel speech-music separation method, which we proposed previously, on speech recognition performance. In the proposed method, assuming that we know a catalog of the background music, we developed a generative model for the superposed speech and music spectrograms. We represent the speech(More)
—In this study, we analyze the gain estimation problem of the catalog-based single-channel speech-music separation method, which we proposed previously. In the proposed method, assuming that we know a catalog of the background music, we developed a generative model for the superposed speech and music spectrograms. We represent the speech spectrogram by a(More)
We aim to present a unique case with discharging lacrimal gland fistula secondary to severe head trauma by an animal. A 9-year-old girl presented with serous fluid discharge from a cutaneous fistula in the left orbital region. The patient had history of surgery for traumatic frontal bone fracture and skin laceration in the superior orbital rim three weeks(More)
In this study, we introduce a catalog-based single-channel speech-music separation method with the Itakura-Saito (IS) divergence measure. Previously, we have developed the catalog-based separation method with the Kullback-Leibler (KL) divergence. In the probabilistic point of view, IS divergence corresponds to a complex Gaussian observation model.(More)