@inproceedings{9b3582d536e54ddf8374b49a624ec956,
title = "Improving speaker identification rate using fractals",
abstract = "This paper reports on a text-dependent speaker identification system that combines Mel-frequency cepstral coefficients with non-linear turbulence information extracted using Multi-Scale Fractal Dimension (MFD). The MFD is estimated using Box-Counting and Minkowiski-Bouligand dimension. The proposed framework is implemented in conjunction with sub-band based speaker identification system. Results show that the proposed framework with Box-Counting feature extraction improves the performance of the classical wideband approach by up to 10% identification rate. It is further observed that the proposed framework gives the improved Bhattacharyya distance between impostors and speakers' speech distributions.",
author = "Nelwamondo, {Fulufhelo V.} and Unathi Mahola and Tshilidzi Marwala",
year = "2006",
doi = "10.1109/ijcnn.2006.247309",
language = "English",
isbn = "0780394909",
series = "IEEE International Conference on Neural Networks - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3231--3236",
booktitle = "International Joint Conference on Neural Networks 2006, IJCNN '06",
address = "United States",
note = "International Joint Conference on Neural Networks 2006, IJCNN '06 ; Conference date: 16-07-2006 Through 21-07-2006",
}