NDLI: Formant estimation of whispered speech based on spectral segmentation

Content Provider	IEEE Xplore Digital Library
Author	Gong Chenghui Zhao Heming Lu Gang Liu Jianxin
Copyright Year	2006
Description	Author affiliation: Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou (Gong Chenghui; Zhao Heming; Lu Gang; Liu Jianxin)
Abstract	Whispered speech, without vocal cord vibration and always in low SNR, is more difficult both in its analysis and recognition. Thus its formant estimation becomes prominent in each field. The proposed algorithm is based on spectral segmentation. The complete spectrum is segmented into K segments, each of which contains a single formant. Here, improved dynamic programming and selective LP (linear predictive) methods are used. The former offers segment boundaries, and the latter leads to the parameters of formant frequency and its bandwidth as well. For whispered speech, the gain of vocal tract transfer function is also important. The tests are carried on Chinese whispered vowels, and the proposed algorithm is proved to be efficient. In low SNR, the segment based LP method is obviously superior to the conventional LPC and LSP
Starting Page	562
Ending Page	566
File Size	276751
Page Count	5
File Format	PDF
ISBN	0780397533
DOI	10.1109/ISSPIT.2006.270864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear predictive coding Speech analysis Speech processing Dynamic programming Bandwidth Frequency estimation Wiener filter Signal processing Speech recognition Signal processing algorithms whispered speech formant estimation spectral segmentation Linear Prediction
Content Type	Text
Resource Type	Article

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