Cochannel Speech Separation Using Multi-pitch Estimation and Model Based Voiced Sequential Grouping

被引：0
|
作者：
Li, Ming [1 ]
Cao, Chuan [1 ]
Wang, Di [1 ]
Lu, Ping [1 ]
Fu, Qiang [1 ]
Yan, Yonghong [1 ]
机构：
[1] Chinese Acad Sci, ThinkIT Speech Lab, Inst Acoust, Beijing 100190, Peoples R China
来源：
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | 2008年
关键词：
Auditory scene analysis; cochannel speech; multi-pitch estimation; sequential grouping;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new cochannel speech separation algorithm using multi-pitch extraction and speaker model based sequential grouping is proposed. After auditory segmentation based on onset and offset analysis, robust multi-pitch estimation algorithm is performed on each segment and the corresponding voiced portions are segregated. Then speaker pair model based on support vector machine (SVM) is employed to determine the optimal sequential grouping alignments and group the speaker homogeneous segments into pure speaker streams. Systematic evaluation on the speech separation challenge database shows significant improvement over the baseline performance.
引用
收藏
页码：151 / 154
页数：4
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