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A comparison of two compression functions used for noisy vowel detection with back-propagation networks.
Thurston, P. & Norris, D.
In Eurospeech 91: Proceedings of the 2nd European Conference on Speech Communication and Technology, Vol. 2 (pp. 995-998). Genova, Italy, 24-26 September.
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This paper compares the merits of two alternative front-ends for a connectionist vowel recogniser; an auditory hair-cell model and a conventional FFT. The choice of front-end has a marked impact on the recognition of vowels, particularly when the networks are trained and tested using speech in the presence of noise. One notable difference between the front-ends is that whereas the FFT based front-end uses an output compression function that is cubic, the auditory model has an intrinsic compression function that is logarithmic. By rescaling the output values for the two front-ends, we demonstrate that the difference in performance is determined by the speech compression function and not by the choice of front-end per se.