关键词: 说话人识别, 语音空间, 说话人空间, 线性判决分析（LDA）

Abstract: In speaker space，it occurs that speech varies with the difference of the sentence and time.This variability is mainly aroused with the variable speech information and speaker information in the speech database.If these two kinds of information are separated，robust speaker recognition is done.In this paper，on the assumption that large speaker variable space is “speech space” and small speaker variable space is “speaker space”，speaker identification and speaker verification are presented by separating speech information and speaker information with subspace method.The result shows small quantity train databases can be used to set up robust speaker model by comparative experiments compared to traditional method.

Key words: speaker recognition, speech space, speaker space, LDA