Comparing performance of spectral distance measures and neural network methods for vowel recognition

Neural networks were trained to classify single 20 ms frames of vowels using either perceptually-based spectral representations or LPC spectra as input. Classification performance was compared with performance of several distance measures using nearest-neighbor and mean-distance decision criteria. T...

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Veröffentlicht in:Computer speech & language 1989, Vol.3 (1), p.21-34
Hauptverfasser: Kamm, Candace A., Streeter, Lynn A., Kane-Esrig, Yana, Burr, David J.
Format: Artikel
Sprache:eng
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