Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
Title Speaker Recognition Using Convolutional Siamese Neural Networks
Authors 정희승(Heeseung Jung) ; 윤상혁(Sanghyeuk Yoon) ; 박능수(Neungsoo Park)
Page pp.164-169
ISSN 1975-8359
Keywords Speaker Recognition; Siamese Networks; Convolutional Neural Netowork(CNN); MFCC
Abstract Recently, machine learning has been applied in a variety of fields. Speaker recognition is one of attractive applications of machine learning. In this paper, we propose a convolutional Siamese neural network for speaker recognition. The proposed model generates feature vectors through the identical two convolutional neural networks for speech data of two speakers. The similarity is measured by calculating the Euclidean distance of two output feature vectors. If the calculated similarity is less than the threshold, it is judged that two speakers are the same. The experimental result of the proposed speaker recognition based on the convolutional Siamese neural network showed its accuracy was achieved up to 96%. The accuracy of one-shot classification using the trained convolutional Siamese neural network was evaluated also. For the evaluation, the 10-way one-shot classification for 10 speakers not used for learning stages were tested, resulting in 92% accuracy.