Investigations on inter-speaker variability in the feature space

被引：8
|
作者：
Haeb-Umbach, R [1 ]
机构：
[1] Philips Res Labs, D-52066 Aachen, Germany
来源：
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI | 1999年
关键词：
D O I：
10.1109/ICASSP.1999.758146
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
We apply Fisher variate analysis to measure the effectiveness of speaker normalization techniques. A trace criterion, which measures the ratio of the variations due to different phonemes compared to variations due to different speakers, serves as a first assessment of a feature set without the need for recognition experiments. By using this measure and by recognition experiments we demonstrate that cepstral mean normalization also has a speaker normalization effect, in addition to the well-known channel normalization effect. Similarly vocal tract normalization (VTN) is shown to remove inter-speaker variability. For VTN we show that normalization on a per sentence basis performs better than normalization on a per speaker basis. Recognition results are given on Wallstreet Journal and Hub-4 databases.
引用
收藏
页码：397 / 400
页数：4
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