Speech segmentation using multilevel hybrid filters
Audio and Speech Processing
2022-03-04 v1 Machine Learning
Sound
Abstract
A novel approach for speech segmentation is proposed, based on Multilevel Hybrid (mean/min) Filters (MHF) with the following features: An accurate transition location. Good performance in noisy environments (gaussian and impulsive noise). The proposed method is based on spectral changes, with the goal of segmenting the voice into homogeneous acoustic segments. This algorithm is being used for phoneticallysegmented speech coder, with successful results.
Cite
@article{arxiv.2203.01819,
title = {Speech segmentation using multilevel hybrid filters},
author = {Marcos Faundez-Zanuy and Francesc Vallverdu-Bayes},
journal= {arXiv preprint arXiv:2203.01819},
year = {2022}
}
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4 pages