Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model

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概要

• 論文の詳細を見る

• A minimum classification error formulation based on genetic algorithm is proposed for discriminative training of the bigram language model. Results of Chinese dialect identification were reported which demonstrate performance improvement with use of the genetic algorithm over the generalized probabilistic descent algorithm.

• 社団法人電子情報通信学会の論文
• 2000-12-25

著者

• Chang Wen-whei

  The Department Of Communication Engineering National Chiao-tung University

• TSAI Wuei-He

  the Department of Communication Engineering, National Chiao-Tung University

• Tsai Wuei-he

  The Department Of Communication Engineering National Chiao-tung University

関連論文

• Chinese Dialect Identification Based on Genetic Algorithm for Discriminative Training of Bigram Model
• The Automated Cryptanalysis of DFT-Based Speech Scramblers

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