@inproceedings{6cf6da5e1af54c2a92ea49dda128e6e8,
title = "DOA estimation in underdetermined stereophonic mixture by kernel density estimator",
abstract = "An estimation method of Direction-of-arrival (DOA) of multiple speech sources from a stereophonic mixture in an underdetermined case is proposed. Based on source sparseness in time-frequency domain, an improved algorithm is proposed via reliable spectrogram components selection and the kernel density estimator approach based on a probabilistic model in phase difference observation. The performance of the proposed method is assessed by real data. Results obtained by our method show outperform the others in direction angle resolution and robustness against noise.",
author = "Ning Ding and Nozomu Hamada",
year = "2011",
doi = "10.1109/ISPACS.2011.6146118",
language = "英语",
isbn = "9781457721663",
series = "2011 International Symposium on Intelligent Signal Processing and Communications Systems: {"}The Decade of Intelligent and Green Signal Processing and Communications{"}, ISPACS 2011",
booktitle = "2011 International Symposium on Intelligent Signal Processing and Communications Systems",
note = "19th IEEE International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2011 ; Conference date: 07-12-2011 Through 09-12-2011",
}