Abstract
Long-term speech sound spectra of 82 female and 58 male students were computed digitally. Sexual dimorphism of the spectra became apparent by 3 statistical methods: multidimensional scaling of overall similarity data, analysis of variance and discriminant analysis. The spectral amplitude distribution between 80 and 300 Hz showed the highest dimorphism, due to differences in the mean fundamental frequency caused by the larynx. Also frequency regions above 1 kHz contain marked dimorphism leading to an automatic sex recognition rate of 87%. This second dimorphism is mainly caused by the vocal tract resonance. A hypothesis is presented in which these two independent dimorphic structures are compared with consideration to their phylogenetic age.
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