Estimation of the glottal source from coded telephone speech using deep neural networks

Publication date: Available online 8 December 2018Source: Speech CommunicationAuthor(s): NP Narendra, Manu Airaksinen, Brad Story, Paavo AlkuAbstractEstimation of glottal source information can be performed non-invasively from speech by using glottal inverse filtering (GIF) methods. However, the existing GIF methods are sensitive even to slight distortions in speech signals under different realistic scenarios, for example, in coded telephone speech. Therefore, there is a need for robust GIF methods which could accurately estimate glottal flows from coded telephone speech. To address the issue of robust GIF, this paper proposes a new deep neural net-based glottal inverse filtering (DNN-GIF) method for estimation of glottal source from coded telephone speech. The proposed DNN-GIF method util...

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