DocumentCode
701470
Title
Speech segmentation using multilevel hybrid filters
Author
Zanuy, Marcos Faundez ; Bayes, Francesc Vallverdu
Author_Institution
Department of Signal Theory and Communications (UPC) c/Gran Capità S/N (Campus Nord, Edifici D5) 08034 BARCELONA (SPAIN)
fYear
1996
fDate
10-13 Sept. 1996
Firstpage
1
Lastpage
4
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 & 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 phonetically-segmented speech coder, with successful results.
Keywords
Filtering theory; Maximum likelihood detection; Measurement uncertainty; Noise; Nonlinear filters; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location
Trieste, Italy
Print_ISBN
978-888-6179-83-6
Type
conf
Filename
7083196
Link To Document