This paper presents an iterative signal enhancement algorithm for noise reduction in speech. The algorithm is based on a truncated singular value decomposition (SVD) procedure, which has already been used as a tool for signal enhancement [1][2]. Compared to the classical algorithms, the novel algorithm gives rise to comparable improvements in signal-to-noise ratio (SNR). Moreover the algorithm has an improved frequency selectivity for filtering out the noise and performs better with respect to the higher formants of the speech. It can also be extended easily to multiple channels.
Cite as: Doclo, S., Dologlou, I., Moonen, M. (1998) A novel iterative signal enhancement algorithm for noise reduction in speech. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0131, doi: 10.21437/ICSLP.1998-322
@inproceedings{doclo98_icslp,
author={Simon Doclo and Ioannis Dologlou and Marc Moonen},
title={{A novel iterative signal enhancement algorithm for noise reduction in speech}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0131},
doi={10.21437/ICSLP.1998-322}
}