Speaker Recognition Algorithm Based on Convolutional Neural Networks

doi:10.3969/j.issn.1671-1122.2016.04.009

Abstract

Abstract:

Feature extraction and pattern classification are two separated part in classical algorithms for speaker recognition, wherein the choice of features has much influence on classification, and thus algorithm complexity is generally increased. In this manuscript we propose to use the structure advantage of convolutional neural network(CNN) to form a new speaker recognition algorithm. The algorithm firstly computes the spectrograms of a speech signal, then using CNN for classification. Experimental results based on self-built database and the TIMIT database show that the presented algorithm is effective in speaker recognition.

Key words: convolutional neural network, speaker recognition, spectrogram

CLC Number:

TP309

Qing HU, Benyong LIU. Speaker Recognition Algorithm Based on Convolutional Neural Networks[J]. Netinfo Security, 2016, 16(4): 55-60.

Figures/Tables 11

References 23

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