Building LSTM Neural Network Based Speaker Identification System
Volume 6, Issue 1 (2018), pp. 574–580
Pub. online: 22 June 2018
Type: Article
Open Access
Open Access
Received
2 November 2017
2 November 2017
Accepted
13 June 2018
13 June 2018
Published
22 June 2018
22 June 2018
Abstract
In this paper, we are analyzing the results of native Lithuanian speaker recognition and identification using long short-term memory deep neural network. We look at recognition accuracy and identify further potential improvements. Dataset used for training and speaker recognition consists of over 370 unique speakers, who provide their voice utterances in Lithuanian language. In this paper we present results that are derived from part of this dataset.
