Paper Title:
Different Evaluation Approaches of Confusion Network in Chinese Spoken Classification
  Abstract

As kind of multiple results in speech recognition system, lattice and confusion network are widely applied in spoken document classification and spoken document retrieval. In this paper, the relation between lattice and confusion network is analyzed firstly. Then based on the confusion network by clustering algorithm, different evaluation approaches are applied here to test the performance of confusion network, which include accuracy, complexity and distortion of confusion network. For the experiments on speech recognition system, it can be drawn that compared with 1-best result, confusion network can have higher words accuracy.

  Info
Periodical
Edited by
Hun Guo, Zuo Dunwen, Tang Guoxing
Pages
174-179
DOI
10.4028/www.scientific.net/AMR.142.174
Citation
L. Zhang, J. X. Chang, X. Z. Xiang, "Different Evaluation Approaches of Confusion Network in Chinese Spoken Classification", Advanced Materials Research, Vol. 142, pp. 174-179, 2011
Online since
October 2010
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