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<Paper uid="C69-3301">
  <Title>CONTINUE END PROGRAM III C AUTOMATIC DISCRIMINATION OF N AND M C UNIVERSITY OF 0ULU FINLAND C INSTITUTE OF PHONETICS C C LOGIC OF THE PROGP, A~i: C 1:CALCULATE THE MEANS OF THE AMPLITUDES AT THE NINE C MEASUREMENT POINTStWHICH ARE THE MOST DISCRIMINATING C POINTS ON THE FREQUENCY AXIS FOR N AND M~. C 2:SET THE AMPLITUDES IN ORDER OF MAGNITUDE! C 3 :INDICATE THE ORDINAL NUMBERS OF THE AMPLITUDES ! C 4:FORM THE GENERAL NUMERICAL MODEL FOR N AND M C ON BASIS OF THE ORDINAL NU~BERS! C 5:CALCULATE THE MODELS OF NEW NASAL SOUNDS WITH C THE SAME METHOD ! C RESOLVE THE PROBLEM:IS THE NEW NASAL SOUND A N OR C A M? CO~LPAIR ITS MODEL WITH THAT OF THE GENERAL. C MODELS OF N AND M! C DIMENSION ASUM (9) ,A~EAN (9), BSUM (9), BHEAN (9) ,NUM (9) D~IENSION AMPLIT ( 9 ) ~ NUMBER ( 9 ) ~ INU~IBR ( 9 ) C C COMPUTATION OF THE MEANS IN THE BASIC MATERIAL C CONSISTING OF A SET OF N AND M SOUNDS</Title>
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    <Paragraph position="0"> If the recognition of the natural languages isn't possible, we should consider the possibility of an ar~ifical language, which would be easy to be recognized by a machine.</Paragraph>
    <Paragraph position="1"> If the social need of the recognition automations becomes very great, it is possible that the conservative orthography of many language will disappea~ and the phonematic orthography will become common.</Paragraph>
    <Paragraph position="2"> The discriminant analysis used in this contribution has been programmed by Mr, Sdeg Sarna in the Computation Centre of the University of Helsinki (of.2)deg</Paragraph>
  </Section>
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