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Speaker Recognition Exploiting D2D Communications Paradigm: Performance Evaluation of Multiple Observations Approaches

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Abstract

The diffusion of Device-to-Device (D2D) communications opens the door to exploit the contributions of multiple Mobile Devices (MDs) to accomplish collaborative tasks. In this paper a speaker recognition algorithm for MDs based on a multiple-observations approach is presented. We propose various fusion and clustering algorithms aimed at efficiently exploiting data coming from MDs. Numerical results show that in many cases our multiple-observation approach is able to significantly improve the accuracy of the considered speaker recognition algorithm.

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Acknowledgments

This work has been partially funded by TIM S.p.A., Services Innovation Department, Joint Open Lab S-Cube, Italy, Milan.

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Authors and Affiliations

  1. Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture (DITEN), University of Genoa, Via dell’Opera Pia 13, 16145, Genoa, Italy

    Igor Bisio, Fabio Lavagetto, Chiara Garibotto & Andrea Sciarrone

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  1. Igor Bisio
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  2. Fabio Lavagetto
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  3. Chiara Garibotto
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  4. Andrea Sciarrone
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Correspondence to Andrea Sciarrone.

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Bisio, I., Lavagetto, F., Garibotto, C. et al. Speaker Recognition Exploiting D2D Communications Paradigm: Performance Evaluation of Multiple Observations Approaches. Mobile Netw Appl 22, 1045–1057 (2017). https://doi.org/10.1007/s11036-017-0876-z

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  • DOI: https://doi.org/10.1007/s11036-017-0876-z

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