| Title |
Emotional Speaker Recognition using Emotional Adaptation |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.7.1105 |
| Keywords |
Speaker recognition ; Emotional speech ; GMM ; Emotional adaptation |
| Abstract |
Speech with various emotions degrades the performance of the speaker recognition system. In this paper, a speaker recognition method using emotional adaptation has been proposed to improve the performance of speaker recognition system using affective speech. For emotional adaptation, emotional speaker model was generated from speaker model without emotion using a small number of training affective speech and speaker adaptation method. Since it is not easy to obtain a sufficient affective speech for training from a speaker, it is very practical to use a small number of affective speeches in a real situation. The proposed method was evaluated using a Korean database containing four emotions. Experimental results show that the proposed method has better performance than conventional methods in speaker verification and speaker recognition. |