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Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets

✍ Scribed by Barros, A.K.; Rutkowski, T.; Itakura, F.; Ohnishi, N.


Book ID
118135454
Publisher
IEEE
Year
2002
Tongue
English
Weight
307 KB
Volume
13
Category
Article
ISSN
1045-9227

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A speech signal can be decomposed into the fundamental frequency and harmonics, and the autocorrelation function (ACF) is an e!ective tool for identifying the fundamental frequency and the harmonics. This paper, thus, explains how ACF harmonic analysis can be applied to speech detection and reconstr