NDLI: Application of an LPC distance measure to the voiced-unvoiced-silence detection problem

Content Provider	IEEE Xplore Digital Library
Author	Rabiner, L. Sambur, M.
Copyright Year	1974
Abstract	One of the most difficult problems in speech analysis is reliable discrimination among silence, unvoiced speech, and voiced speech which has been transmitted over a telephone line. Although several methods have been proposed for making this three-level decision, these schemes have met with only modest success. In this paper, a novel approach to the voiced-unvoiced-silence detection problem is proposed in which a spectral characterization of each of the three classes of signal is obtained during a training session, and an LPC distance measure and an energy distance are nonlinearly combined to make the final discrimination. This algorithm has been tested over conventional switched telephone lines, across a variety of speakers, and has been found to have an error rate of about 5 percent, with the majority of the errors (about\frac{2}{3}) occurring at the boundaries between signal classes. The algorithm is currently being used in a speaker-independent word recognition system.
Starting Page	338
Ending Page	343
Page Count	6
File Size	632341
File Format	PDF
ISSN	00963518
Volume Number	25
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1977-08-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear predictive coding Speech analysis Telephony Wiener filter Testing Error analysis Signal processing Matched filters Energy measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing

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