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Application of an LPC Distance Measure to the Voiced-Unvoiced — Silence Detection Problem
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sambur, M. R. |
| Copyright Year | 2002 |
| Abstract | One of the most difficult problems in speech analysis is reliable discrimination among silence, unvoiced speech, and voiced speech which has been txansmitted 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 ) occurring at the boundaries between signal classes. The algorithm is currently being used in a speaker-independent word recognition system. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ece.ucsb.edu/Faculty/Rabiner/ece259/Reprints/118_lpc%20distance%20measure.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Bit error rate Class Nonlinear system PCSK7 wt Allele Telephone line Voice analysis |
| Content Type | Text |
| Resource Type | Article |
