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Proceedings Paper

Optimization of multilayer neural network parameters for speaker recognition
Author(s): Jaromir Tovarek; Pavol Partila; Jan Rozhon; Miroslav Voznak; Jan Skapa; Dominik Uhrin; Zdenka Chmelikova
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Paper Abstract

This article discusses the impact of multilayer neural network parameters for speaker identification. The main task of speaker identification is to find a specific person in the known set of speakers. It means that the voice of an unknown speaker (wanted person) belongs to a group of reference speakers from the voice database. One of the requests was to develop the text-independent system, which means to classify wanted person regardless of content and language. Multilayer neural network has been used for speaker identification in this research. Artificial neural network (ANN) needs to set parameters like activation function of neurons, steepness of activation functions, learning rate, the maximum number of iterations and a number of neurons in the hidden and output layers. ANN accuracy and validation time are directly influenced by the parameter settings. Different roles require different settings. Identification accuracy and ANN validation time were evaluated with the same input data but different parameter settings. The goal was to find parameters for the neural network with the highest precision and shortest validation time. Input data of neural networks are a Mel-frequency cepstral coefficients (MFCC). These parameters describe the properties of the vocal tract. Audio samples were recorded for all speakers in a laboratory environment. Training, testing and validation data set were split into 70, 15 and 15 %. The result of the research described in this article is different parameter setting for the multilayer neural network for four speakers.

Paper Details

Date Published: 12 May 2016
PDF: 6 pages
Proc. SPIE 9850, Machine Intelligence and Bio-inspired Computation: Theory and Applications X, 98500C (12 May 2016); doi: 10.1117/12.2223545
Show Author Affiliations
Jaromir Tovarek, VŠB-Technical Univ. of Ostrava (Czech Republic)
Pavol Partila, VŠB-Technical Univ. of Ostrava (Czech Republic)
Jan Rozhon, VŠB-Technical Univ. of Ostrava (Czech Republic)
Miroslav Voznak, VŠB-Technical Univ. of Ostrava (Czech Republic)
Jan Skapa, VŠB-Technical Univ. of Ostrava (Czech Republic)
Dominik Uhrin, VŠB-Technical Univ. of Ostrava (Czech Republic)
Zdenka Chmelikova, VŠB-Technical Univ. of Ostrava (Czech Republic)


Published in SPIE Proceedings Vol. 9850:
Machine Intelligence and Bio-inspired Computation: Theory and Applications X
Misty Blowers; Jonathan Williams; Russell D. Hall, Editor(s)

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