@inproceedings{75a329a0ef604a359194d10659af1327,
title = "Channel robust speaker verification via extended feature mapping",
abstract = "An extended feature mapping (EFM) approach for channel robust speaker verification is proposed in this paper. This approach seeks to map the distorted feature vectors into a channel-independent space so that each individual speaker model can be trained with channel-independent feature vectors. EFM consummates the existing feature mapping idea by defining a more rational mapping function. Experimental results on closed-set speaker verification tasks on a channel-corrupted subset of TIMIT database are presented in terms of DET plot (see fig. 4). The new approach is shown to provide significant performance over baseline system, and is more stable and better than the original feature mapping and Hnorm.",
keywords = "Channel robust, Feature mapping, Speaker verification",
author = "Zhonghua Fu and Lei Xie and Rongchun Zhao",
year = "2004",
doi = "10.1109/ICOSP.2004.1442268",
language = "英语",
isbn = "0780384067",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2417--2420",
booktitle = "2004 7th International Conference on Signal Processing Proceedings (ICSP'04)",
note = "7th International Conference on Signal Processing, ICSP 2004 ; Conference date: 31-08-2004 Through 04-09-2004",
}