Abstract
An efficient algorithm for speaker-independent spoken word recognition is presented. This algorithm is based on the time-frequency warping with inter-frame consistency, where each frame of an input pattern is mapped to a reference pattern by controlling the mapping of several points (pivots) on the frame. The mapping of non-pivot points is given by linear interpolation between mapping of two consecutive pivots. The optimal mapping is obtained by using a dynamic programming based algorithm. The computational complexity of the algorithm is reduced to less than that of the previous time-frequency warping algorithm with inter-frame consistency. Experimental results show advantageous characteristics of the present algorithm.
Original language | English |
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Pages (from-to) | 91-92 |
Number of pages | 2 |
Journal | Research Reports on Information Science and Electrical Engineering of Kyushu University |
Volume | 6 |
Issue number | 1 |
Publication status | Published - 2001 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Electrical and Electronic Engineering