Electrical Engineering and Systems Science > Audio and Speech Processing
arXiv:2203.01819 (eess)
[Submitted on 24 Feb 2022]
Title:Speech segmentation using multilevel hybrid filters
View a PDF of the paper titled Speech segmentation using multilevel hybrid filters, by Marcos Faundez-Zanuy and 1 other authors
View PDFAbstract: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.
| Comments: | 4 pages |
| Subjects: | Audio and Speech Processing (eess.AS); Machine Learning (cs.LG); Sound (cs.SD) |
| Cite as: | arXiv:2203.01819 [eess.AS] |
| (orarXiv:2203.01819v1 [eess.AS] for this version) | |
| https://doi.org/10.48550/arXiv.2203.01819 arXiv-issued DOI via DataCite | |
| Journal reference: | 1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996, pp. 1-4 |
Submission history
From: Marcos Faundez-Zanuy [view email][v1] Thu, 24 Feb 2022 00:03:02 UTC (958 KB)
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View a PDF of the paper titled Speech segmentation using multilevel hybrid filters, by Marcos Faundez-Zanuy and 1 other authors
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