Running spectrum analysis as an aid in the representation and interpretation of electrogastrographic signals

1987 ◽  
Vol 25 (1) ◽  
pp. 57-62 ◽  
Author(s):  
E. J. van der Schee ◽  
J. L. Grashuis
2000 ◽  
Vol 41 (2) ◽  
pp. 230 ◽  
Author(s):  
Deok Won Kim ◽  
Chang Yong Ryu ◽  
Sang In Lee

Author(s):  
George Mufungulwa ◽  
Hiroshi Tsutsui ◽  
Yoshikazu Miyanaga ◽  
Shin-ichi Abe

In any real environment, noises degrade the performance of Automatic Speech Recognition (ASR) systems. Additionally, in the case of similar pronunciations, it is not easy to realize a high accuracy of recognition. From  this point of view, our work envisions an enhanced algorithm processing a speech modulation spectrum, such as Running Spectrum Analysis (RSA). It was also adequately applied to observed speech data. In the envisioned method, a modulation spectrum filtering (MSF) method directly modified the observed cepstral modulation spectrum by a Fourier transform of the cepstral time frequency. The method and experiments carried out for various passbands had favorable results that showed an improvement of about 1-4 % in recognition accuracycompared to conventional methods.


1994 ◽  
Vol 16 (4) ◽  
pp. 301-303
Author(s):  
V. Borsevici ◽  
W. Oleinik ◽  
A. Mustyatsa ◽  
A. Tjuteakin ◽  
D. Silkin

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