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A phoneme discriminator, designed to model the human auditory system, has been tested in a fricative discrimination task. Nineteen speakers, ten male and nine female, generated a data set comprising the nine isolated fricative consonants, each followed by three different vowels. The system was first trained on the utterances of nine of the voices and achieved 89% correct classification of the nine fricatives. Then this classification system was applied to an "unknown" set of utterances of the remaining ten voices. This prediction experiment yielded 74% accuracy. The system design, based on auditory processing, involves a spectral analysis by means of a bank of 1/3- octave bandpass filters. Acoustic features derived from this spectral analysis include voice onset time, time averaged spectra, and gross spectral energy distributions.
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79. (Volume:4 )
Date of Conference: Apr 1979