@inproceedings{3304075f999b4465a4acc817ea2f75a7,
title = "Spectro-temporal subband Wiener filter for speech enhancement",
abstract = "In this paper, we propose a signal-channel speech enhancement algorithm by applying the conventional Wiener filter in the spectro-temporal modulation domain. The multi-resolution spectro-temporal analysis and synthesis framework for Fourier spectrograms [12] is extended to the analysis-modification-synthesis (AMS) framework for speech enhancement. Compared with conventional speech enhancement algorithms, a Wiener filter and an extended minimum mean-square error (MMSE) algorithm, our proposed method outperforms them by a large/small margin in white/babble noise conditions from both objective and subjective evaluations.",
keywords = "spectro-temporal modulation filtering, speech enhancement, Wiener filter",
author = "Hsu, {Chung Chien} and Lin, {Tse En} and Chen, {Jian Hueng} and Tai-Shih Chi",
year = "2012",
month = oct,
day = "23",
doi = "10.1109/ICASSP.2012.6288795",
language = "English",
isbn = "9781467300469",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "4001--4004",
booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",
note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",
}