DocumentCode
3162820
Title
Speech segmentation by variance fractal dimension
Author
Grieder, W. ; Kinsner, W.
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fYear
1994
fDate
25-28 Sep 1994
Firstpage
481
Abstract
This paper describes an implementation of the variance fractal dimension algorithm as a technique for the analysis of speech waveforms. The technique produces a fractal dimension trajectory which can be used for the detection of boundaries of an utterance in noise. The approach is superior to any other energy-based boundary-detection technique. It can also be used to segment speech utterances into sentences, words, or even phonemes. These observations are based on extensive experimental results on speech digitized at 44.1 kilosamples per second, with 16 bits in each sample
Keywords
fractals; speech processing; speech recognition; 16 bit; automatic speech recognition; boundaries detection; energy-based boundary-detection technique; experimental results; fractal dimension trajectory; noise; phonemes; sentences; speech segmentation; speech utterances; speech waveforms analysis; variance fractal dimension algorithm; words; Fractals; Speech analysis; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
Conference_Location
Halifax, NS
Print_ISBN
0-7803-2416-1
Type
conf
DOI
10.1109/CCECE.1994.405793
Filename
405793
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