Multimodal Speaker Verification Based on Electroglottograph Signal and Glottal Activity DetectionReport as inadecuate




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EURASIP Journal on Advances in Signal Processing

, 2010:930376

First Online: 01 September 2010Received: 26 March 2010Revised: 02 August 2010Accepted: 28 August 2010

Abstract

To achieve robust speaker verification, we propose a multimodal method which includes additional nonaudio features and glottal activity detector. As a nonaudio sensor an electroglottograph EGG is applied. Parameters of EGG signal are used to augment conventional audio feature vector. Algorithm for EGG parameterization is based on the shape of the idealized waveform and glottal activity detector. We compare our algorithm with conventional one in the term of verification accuracy in high noise environment. All experiments are performed using Gaussian Mixture Model recognition system. Obtained results show a significant improvement of the text-independent speaker verification in high noise environment and opportunity for further improvements in this area.

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Author: Zoran Ćirović - Milan Milosavljević - Zoran Banjac

Source: https://link.springer.com/







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