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Robust speaker identification by fusing classification scores with a neural network

: Wilkinghoff, Kevin; Baggenstoss, Paul M.; Cornaggia-Urrigshardt, Alessia; Kurth, Frank

Doclo, S. ; Informationstechnische Gesellschaft -ITG-, Fachausschuss Sprachakustik; Informationstechnische Gesellschaft -ITG-:
Speech communication. 13. ITG-Fachtagung Sprachkommunikation 2018 : 10.- 12. Oktober 2018, Oldenburg, CD-ROM
Berlin: VDE-Verlag, 2018 (ITG-Fachbericht 282)
ISBN: 978-3-8007-4767-2
5 pp.
Fachtagung Sprachkommunikation <13, 2018, Oldenburg>
Conference Paper
Fraunhofer FKIE ()

Score-based fusion of multiple independent models for the purpose of identifying speakers is widely used as it reduces the identification error rate significantly. In this work, a speaker identification system for low-quality speech which has been propagated through telephone and communication channels is proposed. The system consists of 15 models based on 5 features as well as a Neural Network structure for the task of fusing the classification scores resulting from the individual models. Its performance is evaluated in closed-set speaker identification experiments conducted on the Switchboard corpus. Furthermore, the proposed Neural Network architecture is compared to other fusion techniques such as taking the mean, a Majority Voting, an Evolutionary Algorithm and Logistic Regression.