Efficient Genetic Algorithm of Codebook Design for Text-Independent Speaker Recognition(Regular Section)

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概要

• 論文の詳細を見る

• This letter presents text-independent speaker identification results for telephone speech. A speaker identification system based on Karhunen-Loeve transform (KLT) derived from codebook design using genetic algorithm (GA) is proposed. We have combined genetic algorithm (GA) and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 91% were achieved for 100 Mandarin speakers.

• 社団法人電子情報通信学会の論文
• 2002-11-01

著者

• Chen Chih-chien

  The Department Of Electrical Engineering National Sun Yat-sen University

• CHEN Chin-Ta

  the Department of Electrical Engineering, National Sun Yat-Sen University

• LUNG Shung-Yung

  the Department of Electrical Engineering, National Sun Yat-Sen University

• Lung Shung-yung

  The Department Of Electrical Engineering National Sun Yat-sen University

関連論文

• Efficient Genetic Algorithm of Codebook Design for Text-Independent Speaker Recognition(Regular Section)

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