Speaker normalization based on piecewise linear frequency warping

Kei Yamada, Seiichi Uchida, Hiroaki Sakoe

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)91-92
Number of pages2
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Issue number1
Publication statusPublished - 2001

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering


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