Classificació de les fricatives de l’oromo amb aprenentatge automàtic
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Mitjançant aprenentatge automàtic, aquest estudi investiga com la durada del segment, els moments espectrals i els coeficients DCT permeten diferenciar les fricatives simples de les geminades en oromo. Divuit parlants nadius d’oromo occidental van produir un conjunt de fricatives en posició intervocàlica. D’aquests segments se’n va extreure la durada, els moments espectrals transformats en bark i els sis primers coeficients DCT. Els sons van ser classificats mitjançant màquines de vectors de suport, random forests i xarxes neuronals de perceptró multicapa. Els resultats revelen que la durada del segment és la característica més consistent per distingir entre simples i geminades, amb els coeficients DCT lleugerament superiors als moments espectrals. La màxima precisió de classificació s’aconsegueix combinant la durada i els moments espectrals, però les característiques no temporals donen lloc a més errors.
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Aquesta obra està sota una llicència internacional Creative Commons Reconeixement-NoComercial-SenseObraDerivada 4.0.
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