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- W1749393497 abstract "A pattern recognition approach for deciding whether a given segment of speech should be classified as voiced speech, unvoiced speech or silence based on a set of five measurements of the signal is given by Atal and Rabiner [1]. In this paper, we demonstrate that it is possible to achieve this classification with much less computational effort. These computational savings are mainly achieved by adopting a scheme based on the concept of variable decision space, using only three features and by avoiding the time consuming linear prediction analysis." @default.
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- W1749393497 date "2005-03-24" @default.
- W1749393497 modified "2023-09-28" @default.
- W1749393497 title "Studies on pattern recognition approach to voiced-unvoiced-silence classification" @default.
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- W1749393497 doi "https://doi.org/10.1109/icassp.1978.1170438" @default.
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