Abstract
This letter describes the importance of transition regions, e.g. at phoneme boundaries, for automatic speaker recognition compared with using steady-state regions. Experimental results of automatic speaker identification tasks confirm that transition regions include the most speaker distinctive features. A possible reason for obtaining such results is described in view of articulation, in particular, the degree of freedom of articulators. These results are expected to provide useful information in designing an efficient automatic speaker recognition system.
Original language | English |
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Pages (from-to) | 197-200 |
Number of pages | 4 |
Journal | IEICE Transactions on Information and Systems |
Volume | E93-D |
Issue number | 1 |
DOIs | |
Publication status | Published - 2010 |
All Science Journal Classification (ASJC) codes
- Software
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence