Paper: | SLP-P14.7 |
Session: | Speaker Recognition: Models and Methods |
Time: | Thursday, May 18, 14:00 - 16:00 |
Presentation: |
Poster
|
Topic: |
Speech and Spoken Language Processing: Speaker Identification |
Title: |
On the Use of Voting Methods for Speaker Identification based on Various Resolution Filterbanks |
Authors: |
Bong-Jin Lee, Sung-Wan Yoon, Hong-Goo Kang, Dae Hee Youn, Yonsei University, Republic of Korea |
Abstract: |
This paper proposes a novel speaker identification system based on score fusion of various resolution filterbanks. The proposed system uses multiple features which are extracted from filterbanks having various spectral resolution. Each speaker model is constructed by independent feature set, but the system makes final decision by combining the outcome of each model. We introduce several well-known voting methods for decision. Simulation results using TIMIT database show that the proposed score fusion method significantly improves speaker identification performance compared to single model one. Especially, 59.28% of relative improvement is achieved by using a product rule. |